How can I plot the Cumulative Match Score Characteristic curve for my output CNN?

Question

Alaa 2016 年 3 月 17 日

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https://jp.mathworks.com/matlabcentral/answers/274034-how-can-i-plot-the-cumulative-match-score-characteristic-curve-for-my-output-cnn

編集済み: Alaa 2016 年 3 月 17 日

I use the CNN for identification task and I found that all the papers try using the Cumulative Match Score Characteristic (CMC) curve to visualize the results. I understand what the meaning of the CMC curve, but I don't know how plot it in my case. I use the Softmax on the top of my CNN and I calculate the accuracy of my model on the testing dataset after I get the output matrix from the Softmax as follows:

     [max_val, estimated_labels] = max(outputs);
     estimated_labels = estimated_labels';
     correct_count = length(find(estimated_labels == test_labels));
     acc = correct_count / size(test_imgs, 4);
     fprintf('Overall test accuracy: %f%%\n', acc * 100);

Any help in this regard it highly appreciated.

Here is some values not all from each matrix in my code:

    max_val=0.7812
    0.9998
    0.9808
    0.9985
    0.9993
    0.9962
    0.5600
    0.9986
    0.9675
    0.9755
    1.0000
    0.9917
    0.6297
    0.9948
    0.9950
    0.4407
    0.9727
    0.9864
    1.0000
    0.9998
    0.8779
    0.9999
    0.8765
    0.4498
    0.7942
    0.9905
    0.5248
    0.9999
    0.9912
    1.0000
    0.3731
    0.8184
    1.0000
    0.9759
    0.9692
    0.8997
    0.8519
    1.0000
    0.4999
    0.8744
    0.9714
    0.7590
    1.0000
    0.6382
    0.9998
    0.8760
    0.9825
    0.9970
    0.8468
    0.9821
    1.0000
    0.9847
    1.0000
    0.4963
    1.0000
    1.0000
    0.9947
     estimated_labels= 
        98
    26
    44
    20
    75
    54
    48
    35
    71
    60
    61
    66
    21
    69
    73
    86
    88
    23
    29
    29
    41
    89
    12
    45
    67
    32
    52
    56
    67
    10
     6
    64
    27
    60
    76
    69
     8
    35
    22
     5
    87
    71
    96
    90
    75
    52
    22
    76
    36
    88
    28
    74
    30
    16
   106
    53
    93
 test_labels= 
     98
    26
    44
    20
    75
    54
    48
    35
    71
    60
    61
    66
    21
    69
    73
    86
    88
    23
    29
    29
    41
    89
    12
    45
    67
    32
    52
    56
    67
    10
     6
    64
    27
    60
    76
    69
     8
    35
    22
     5
    87
    71
    96
    94
    75
    52
    22
    76
    36
    88
    28
    74
    30
    16
   106
    53
    93