Benchmark of Data Preprocessing Methods for Imbalanced Classification

1 code implementation • 6 Mar 2023 • Radovan Haluška, Jan Brabec, Tomáš Komárek

These methods modify the training dataset by oversampling, undersampling or a combination of both to improve the predictive performance of classifiers trained on this dataset.

imbalanced classification

On Model Evaluation under Non-constant Class Imbalance

1 code implementation • 15 Jan 2020 • Jan Brabec, Tomáš Komárek, Vojtěch Franc, Lukáš Machlica

Many real-world classification problems are significantly class-imbalanced to detriment of the class of interest.