Comparative analysis of resampling techniques on Machine Learning algorithm

Autor: Amelia, Tri Suci, Hasibuan, Mila Nirmala Sari, Pane, Rahmadani

Publikováno v: Sinkron : jurnal dan penelitian teknik informatika; Vol. 7 No. 2 (2022): Articles Research Volume 7 Issue 2, April 2022; 628-634

Generally, classification algorithms in the field of data science assume that the classes of training data are equally distributed. However, datasets on real problems often have an unbalanced class distribution. Unbalanced dataset classes make up the

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::58dd4aa246a059ea3108d23db244dabf
https://doi.org/10.33395/sinkron.v7i2.11427