Prediction of “Aggregation-Prone” Peptides with Hybrid Classification Approach

Algorithm 1

The EasyEnsemble algorithm.

Input: Training dataset , the number of individuals , the number of iterations

(1) Begin

(2) For

(3) Creating a subset from negative dataset of by using Bootstrap sampling technique, and

  the number is equal to the

(4) Use the Adaboost with the weak classifiers and corresponding weights to train the

  individual model , the ensemble’s threshold is , i.e.

       .

(5) End For

(6) Output: An ensemble like:

(7) End