Is it necessary to test a neural networks with data set unseen by ANN ??
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Purpose: A neural networks, when properly trianed must have ability to generalize and not behave just like a memory.
So, for me i used MLP( 7 inputs,1 ouputs, 1 hidden layer) type's of ANN with 13 years data set, i divided these data as following :
- 10 years data set to train my ANN
- 3 years unseen by ANN to test my model
My question is,can i delete this command 'net.divideparam.testRatio' since i used data unseen by ANN ????
net.divideParam.trainRatio = 75/100;
net.divideParam.valRatio = 15/100;
|net.divideParam.testRatio = 10/100; (I think this command is not necessary!!! can i delete it ??)
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Réponse acceptée
Greg Heath
le 27 Fév 2015
Just put all of the data into the net.
Then choose the datadivision mode and indexing that suits the problem.
Nothing more is needed.
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