Classification of Microarray Data Using Kernel Fuzzy Inference System

Algorithm 2

-fold cross-validation.

 for   i =1  to F  do

  Divide the dataset into training set and testing set .

   for   .1 to 1 (with step size  =  0.1)  do

   for   j =1  to F  do

     Divide the training set () into learning set () and validation set ().

     Train the model using learning set ().

     Validate the model using validation set ().

     Calculate Accuracy of the model.

   end for

     Calculate mean of Accuracy of model corresponding to radius ().

   end for

  Select , corresponding to model having high accuracy (called ).

  Train the model with training set () with and calculate accuracy.

  Test the model with testing set () with and calculate accuracy.

end for