Efficient E-Mail Spam Detection Strategy Using Genetic Decision Tree Processing with NLP Features

Algorithm 2

Decision tree.

 Initialization:

 Assign, No. of Documents = N;

    Datapoints = x;

    Target Inputs = y;

 Number of Leaves = ;

 Tree Depth = D;

 Criterion = C

 for in testSize

 do

  for K in CV do

   test size = x_test and y_test;

   train size = x_train and y_train;

   for i < X do

    Call DT function;

    for j < D do

     Calculate: best_split;

     Predict: class (c);

     ++;

     For node: (c, C)

     return Predicted_Class ()

   Calculate: Accuracy;