An Extensive Empirical Comparison of Ensemble Learning Methods for Binary Classification

Anil Narassiguin; Mohamed Bibimoune; Haytham Elghazel; Alex Aussem

doi:10.1007/s10044-016-0553-z

Journal articles

An Extensive Empirical Comparison of Ensemble Learning Methods for Binary Classification

Anil Narassiguin ¹ Mohamed Bibimoune ¹ Haytham Elghazel ¹ Alex Aussem ¹

1 DM2L - Data Mining and Machine Learning

LIRIS - Laboratoire d'InfoRmatique en Image et Systèmes d'information

Document type :

Journal articles

Domain :

Computer Science [cs] / Machine Learning [cs.LG]

Computer Science [cs] / Artificial Intelligence [cs.AI]

Complete list of metadata

https://hal.archives-ouvertes.fr/hal-01375159
Contributor : Haytham Elghazel Connect in order to contact the contributor
Submitted on : Monday, October 3, 2016 - 12:03:34 AM
Last modification on : Friday, September 30, 2022 - 11:34:16 AM

An Extensive Empirical Comparison of Ensemble Learning Methods for Binary Classification

Identifiers

Collections

Citation

Export

Metrics

116

An Extensive Empirical Comparison of Ensemble Learning Methods for Binary Classification

Identifiers

Collections

Citation

Export

Share

Metrics

116