I have a code of multiplayer perceptron , which i have modified for 10 cross validation. but the confusion matrix in final display is not understandable. can someone please

%% i have 184 subjects, i cant decipher the confusiion matrix

feat = classi_tau4_norm(:,1:16);

labels = classi_tau4_norm(:,17)

fold = cvpartition(labels,'kfold',10);

r=1;

net = patternnet(6);

while r<=10

trainIdx=fold.training(r); testIdx=fold.test(r);

xtrain=feat(trainIdx,:); ytrain=labels(trainIdx);

xtest = feat(testIdx,:); ytest = labels(testIdx);

train_data=[ytrain xtrain];

test_data = [ytest xtest];

net = train(net,xtrain',ytrain');

%view(net)

y_pred = net(xtest');

perf = perform(net,ytest,y_pred');

end

Answer 1

[Amogh Bhole]

From my understanding the confusion matrix you obtained is a result of binary classification problem. Also, I am not able to find where you are plotting the confusion matrix in the code provided. I can see from the image that you have obtained four confusion matrices. However, these confusion matrices mean as follows:

1. Training Confusion Matrix: This matrix gives the information on the data used during training it will be on the random nine folds.
2. Validation Confusion Matrix: Since you are using cross validation technique, the matrix is obtained on the random tenth fold which is used for validation during training.
3. Test Confusion Matrix: For each iteration it will give the confusion matrix for the testing data used.
4. All Confusion Matrix: For each iteration it will give the combined information of the above three matrices.

Please refer to this link in order to find more ways to plot the confusion matrix.

[ammu v]

i didnt write any code for generating confusion matrix, it was generating automatically. I wanted to obtain a proper confusion matrix with total TP,TN,FP,FN.However i am unable to extract with this code.