MATLAB: Query about validation set

default validation

net = newff(inputs,outputs,14);
net.divideParam.trainRatio = 70/100;
net.divideParam.valRatio = 15/100;
net.divideParam.testRatio = 15/100;

what validation type is used in this code like 10 fold cross validation ?

Best Answer

http://www.mathworks.com/matlabcentral/answers/261732-neural-network-time-series-prediction-changing-the-inital-state

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MATLAB: Is the mse of the testing set in the neural network computed simultaneously with the mse of the training and validation sets

Yes.

Thank you for formally accepting my answer

Greg

MATLAB: Testing, validating and training a feedforwardnet

You can add the split ratios manually to the network's divideParams. Here's a snippet showing the same.

[x,t] = simplefit_dataset;
net = feedforwardnet(10);
net.divideParam.trainRatio = 70/100;
net.divideParam.valRatio = 15/100;
net.divideParam.testRatio = 15/100;
[net,tr] = train(net,x,t);

Best Answer

Related Solutions

MATLAB: Is the mse of the testing set in the neural network computed simultaneously with the mse of the training and validation sets

MATLAB: Testing, validating and training a feedforwardnet

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