Classification error at each epoch

Hi there, I am performing a classification problem using Neural Network tool. I did the following:

hiddenLayerSize = 10;

net = patternnet(hiddenLayerSize);

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

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

net.divideParam.trainRatio = 70/100; net.divideParam.valRatio = 15/100; net.divideParam.testRatio = 15/100;

net.trainFcn = 'trainscg'; % Scaled conjugate gradient

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

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

I then trained the network

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

and got some results. From tr information, I can extract classification hit/miss for each class, as well as mse at each epoch. However, is it possible to extract, at each epoch, percentage of hit/miss for each sub-class?

How mse is estimated at each time step?

Is hit/miss percentage for each class explicitly computed at each time step?

Best Regards, Alessandro

Answer 1

[Greg Heath]

Classification error at each epoch Asked by alessandro on 19 Jan 2016 at 8:45 Latest activity Edited by alessandro on 19 Jan 2016 at 8:45 Hi there, I am performing a classification problem using Neural Network tool. I did the following:

GEH1 = 'I deleted default statements'

 net = patternnet;
 net.performFcn = 'mse'; % Mean squared error
 ..[net,tr] = train(net,inputs,targets);

and got some results. From tr information, I can extract classification hit/miss for each class, as well as mse at each epoch. However, is it possible to extract, at each epoch, percentage of hit/miss for each sub-class?

GEH2 ='YES. The locations of the trn/val/tst subclass indices are in tr'

How mse is estimated at each time step?

GEH3 = 'Isn't it obvious?'

Is hit/miss percentage for each class explicitly computed at each time step?

GEH4 = ' No'

Hope this helps

Thank you for formally accepting my answer

Greg