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Dividing the data into training,t​esting,val​idation

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FIR
FIR el 6 de Sept. de 2012
Editada: Greg Heath el 15 de Jun. de 2016
I have a dataset of 75x6,in which i want to divide the data into training ,testing and validation and use rbf neural network to classify them,please tell how to divide and classify using rbfneural network
i used newrbe for training and testing before ,but how to include validation data in it
for reference
please help

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Greg Heath
Greg Heath el 7 de Sept. de 2012
Editada: Greg Heath el 15 de Jun. de 2016
>> lookfor divide
...
divideblock - Partition indices into three sets using blocks of indices.
divideind - Partition indices into three sets using specified indices.
divideint - Partition indices into three sets using interleaved indices.
dividerand - Partition indices into three sets using random indices.
dividetrain - Partition indices into training set only.
dividevec - Divide problem vectors into training, validation and test vectors.
>> help divideblock, doc divideblock ...
To use a function like newrbe with divided data:
1. Use the training design data to create several (10?) nets with different spread values.
2. Use the validation training set to choose the best net.
3. Return to 1 if you want to refine your search for an optimal spread value
4. Use the nondesign test set to predict performance on unseen nondesign data.
5. If the result is unsatifactory
a. In order to reduce the bias of future test set predictions,
obtain a new division of the data (perhaps with differet percentages).
b. Return to step 1
Hope this helps
Thank you for accepting my answer.
Greg
  10 comentarios
Greg Heath
Greg Heath el 13 de Sept. de 2012
Reread my instructions
Do not enter the command plotFcn.
Either
Enter the command net without the ending semicolon. Then look for plotFcn.
or
Enter the command
net.plotFcn
In fact, do both so that you will understand
FIR
FIR el 14 de Sept. de 2012
Thanks i understood now

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