How to creat and plot a confusion matrix of the trained CNN netowork?

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Mohamed Elbeialy 2021-2-21

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评论： R Ramya 2022-1-19

I have trained a CNN and result showed down but I would need help to find the confusion matrix of the network validation accuracy outcome

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Mahesh Taparia 2021-2-23

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To find the confusion matrix, first you have to test the model on testing data and then use plotconfusion function. For more information, you can refer this example. Hope it will help!

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Mohamed Elbeialy 2021-2-28

编辑：Mohamed Elbeialy 2021-2-28

I have 5 classes of image data.store and the model split Label are 80% for training, 10% for validation, 10% for testing . the model validation accuracy is 88.24%

layers = [

imageInputLayer([227 227 3],"Name","data")

convolution2dLayer([11 11],116,"Name","conv1","BiasLearnRateFactor",2,"Stride",[4 4])

reluLayer("Name","relu1")

crossChannelNormalizationLayer(5,"Name","norm1","K",1)

maxPooling2dLayer([3 3],"Name","pool1","Stride",[2 2])

groupedConvolution2dLayer([5 5],132,2,"Name","conv2","BiasLearnRateFactor",2,"Padding",[2 2 2 2])

reluLayer("Name","relu2")

fullyConnectedLayer(250,"Name","fc8","BiasLearnRateFactor",2)

fullyConnectedLayer(5,"Name","new fc","BiasLearnRateFactor",10,"WeightLearnRateFactor",10)

softmaxLayer("Name","prob")

classificationLayer("Name","classoutput")];

miniBatchSize = 25;

valFrequency = floor(numel(augimdsTrain.Files)/miniBatchSize);

options = trainingOptions('sgdm', ...%sgdm

'MiniBatchSize',38, ...

'MaxEpochs',8, ...%12

'InitialLearnRate',0.001, ...

'L2Regularization',0.3,...

'ValidationData',augimdsValidation, ...

'ValidationFrequency',valFrequency, ...

'ValidationPatience',4,'Verbose',false, ...

'Plots','training-progress');

trainedNet = trainNetwork(augimdsTrain,layers,options); % train the network

[YPred] = classify(trainedNet,augimdsValidation); % classify the validation images

accuracy = mean(YPred == imdsValidation.Labels); % calculate the classification accurcy

fracCorrect = accuracy/numel(YPred);

Mohamed Elbeialy 2021-5-2

How do I get the confusion matrix for all trained data at one set instead of finding a confusion matrix for each set seperatly?

The code is above in a pervious comment

R Ramya 2022-1-19

plotconfusion(YTrain,YPredicted

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How to creat and plot a confusion matrix of the trained CNN netowork?

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How to creat and plot a confusion matrix of the trained CNN netowork?

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