Neural Network Plotting Confusion Matrix

Hi, i am currently using the neural network with Matlab and i want to plot a confusion matrix for the training, validation and testing stage. When i implement the confusion matrix with the code figure, plotconfusion(targets,outputs) - i only get the overall confusion matrix please can any one help me with this. Here is my full code.

inputs = totalnew;

targets = targetnew;

% Create a Pattern Recognition Network

hiddenLayerSize = 20;

net = patternnet(hiddenLayerSize);

% Choose Input and Output Pre/Post-Processing Functions

net.inputs{1}.processFcns = {'removeconstantrows','mapminmax'};

net.outputs{2}.processFcns = {'removeconstantrows','mapminmax'};

% Setup Division of Data for Training, Validation, Testing

net.divideFcn = 'divideind';

net.divideMode = 'sample'; % Divide up every sample

net.divideParam.trainInd = 1:700;

net.divideParam.valInd = 701:850;

net.divideParam.testInd = 851:1000;

net.trainFcn = 'trainlm'; % Levenberg-Marquardt

net.performFcn = 'mse'; % Mean squared error

% Choose Plot Functions

net.plotFcns = {'plotperform','plottrainstate','ploterrhist', ... 'plotregression', 'plotfit'};

% Train the Network

[net,tr] = train(net,inputs,targets);

% Test the Network

outputs = net(inputs);

errors = gsubtract(targets,outputs);

performance = perform(net,targets,outputs)

% Recalculate Training, Validation and Test Performance

trainTargets = targets .* tr.trainMask{1};

valTargets = targets .* tr.valMask{1};

testTargets = targets .* tr.testMask{1};

trainPerformance = perform(net,trainTargets,outputs)

valPerformance = perform(net,valTargets,outputs)

testPerformance = perform(net,testTargets,outputs)

% View the Network

view(net)

% Plots

figure, plotconfusion(targets,outputs)

Please Help If You Can

Answer 1

[Greg Heath]

Click on the plotconfusion button in the nntraintool window.

You have specified many net properties that are already defaults

... a waste of time and space.

Thank you for formally accepting my answer

Greg