The choice of scaling technique matters for classification performance

1 code implementation • 23 Dec 2022 • Lucas B. V. de Amorim, George D. C. Cavalcanti, Rafael M. O. Cruz

In this paper, we execute a broad experiment comparing the impact of 5 scaling techniques on the performances of 20 classification algorithms among monolithic and ensemble models, applying them to 82 publicly available datasets with varying imbalance ratios.

Classification