how to divide data into data testing and training

hai everyone i want to ask about my problem i want to predicting exchange rate using anfis and i confuse how to divide data into data testing and training ?

[KSSV]

Actually 70% goes to training and 30% is for testing isn't it?

[José-Luis]

Depends on your objective:

• If you're a cynic only interested in results: train with as much as possible and test with the rest
• If you're a highly-principled masochist interested in the robustness of your model: use as little as possible for training and test with the rest.

Disclaimer: Jokes happen

Answer 1

[Greg Heath]

The NN Toolbox default is

 15% Testing
 85% Design
 --- 70% Training
 --- 15% Validation

The validation subset is a non-training design subset used during training to make sure that the currently trained net generalizes well to non-training data.

The current default setting of 6 insures that training will stop if the non-training validation subset error increases continually for 6 epochs.

Sample code from the documentation obtained via the commands help and doc uses all defaults. For regression/function-fitting/curve-fitting the default function is FITNET. The sample code using as many defaults as possible is obtained via the commands

   help fitnet
and
   doc fitnet

 Alternative code by me is obtained from

http://www.mathworks.com/matlabcentral/newsreader/view_thread/348883#954810

Hope this helps

Thank you for formally accepting my answer

Greg