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I'm using a feed-forward neural network. Here I want to split my dataset into 3 pieces. A training, validation and test-set.
Via the use of a feedforwardnet(), I can install this quite easy by the net.divideParams. Thus for example I set these on :
net.divideParam.trainRatio = 70/100;net.divideParam.valRatio = 15/100;net.divideParam.testRatio = 15/100;
But when I test my network y = net(x); I see that y contains my whole dataset and not 15% of it.
Thus, if my dataset contains 3000 data points, I would expect that Y contains 450 data points.
Can someone explain this to me? Can I relay on Y, or should I create my own independent data set because my test set, isn't allowed to use any train or validation data…
Kind regards
Dieter
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