Incremental Gene Expression Programming Classifier with Metagenes and Data Reduction

Algorithm 1

Inducing base classifiers.

Input: chunk , number of base classifiers , number of attributes , percent of instances

Output: the population of base classifiers

(1)

(2) for to do

/⋆prepare chunk for learning⋆/

(3) filtered onto attributes chosen randomly

(4) size()

(5)

(6) for to do

(7) select random row from

(8) add row to

(9) apply GEP learning to ([2])

(10) add the best gene to base classifiers

(11) return