CACP: Classification Algorithms Comparison Pipeline

CACP: Classification Algorithms Comparison Pipeline

This paper presents a Classification Algorithms Comparison Pipeline (CACP) for comparing newly developed classification algorithms in Python with other commonly used classifiers to evaluate classification performance, reproducibility, and statistical reliability. CACP simplifies the entire classifie...

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Bibliographic Details
Main Authors: Sylwester Czmil, Jacek Kluska, Anna Czmil
Format: Article
Language:English
Published: Elsevier 2022-07-01
Series:SoftwareX
Subjects:
Supervised classification
Computational reproducibility
Classifier performance evaluation
Wilcoxon signed-rank test
Online Access:http://www.sciencedirect.com/science/article/pii/S2352711022000863

Internet

http://www.sciencedirect.com/science/article/pii/S2352711022000863

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