A New Ensemble Method with Feature Space Partitioning for High-Dimensional Data Classification

Algorithm 3

Random forest.

Input: training data , number of selected variables , number of trees

Output: Aggregated classifier

Begin:

(1) for to

(2)   = bootstrap sample from (sample with replacement)

(3)   size of ( will be randomly selected from original input space)

(4)   (: Classification and regression tree)

(5) }

(6) 

End