A2BCF: An Automated ABC-Based Feature Selection Algorithm for Classification Models in an Education Application
Feature selection is an essential step of preprocessing in Machine Learning (ML) algorithms that can significantly impact the performance of ML models. It is considered one of the most crucial phases of automated ML (AutoML). Feature selection aims to find the optimal subset of features and remove t...
Main Authors: | , , |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2022-03-01
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Series: | Applied Sciences |
Subjects: | |
Online Access: | https://www.mdpi.com/2076-3417/12/7/3553 |