Multi-objective genetic programming for binary classification with adaptive thresholds and a generalization-optimizing fitness function

doi:10.1016/j.asoc.2025.113956

Multi-objective genetic programming for binary classification with adaptive thresholds and a generalization-optimizing fitness function

2025-09-18

0

PRE

AI

DOI：10.1016/j.asoc.2025.113956

Original

Original request for help

Save

Abstract

En 中文

• A method for building genetic programming classifiers that can adjust thresholds is proposed. • A new fitness function is proposed to improve the generalization ability of the GP classifier. • Adjusting the GP classifier’s threshold can enhance performance on imbalanced datasets.

Multi-objective genetic programming for binary classification with adaptive thresholds and a generalization-optimizing fitness function

Abstract

Journal

Organization