A survey on learning from imbalanced data streams: taxonomy, challenges, empirical study, and reproducible experimental framework

This website provides interactive plots and tables for the experimental review on imbalanced data streams. The manuscript preprint is available at arXiv or ResearchGate and was submitted to the journal Machine Learning for publication.

The source code, algorithms, and experimental setup are provided on the Github repository. Results for all experiments (median for 5 seeds) are available to download as csv files to facilitate the reproducibility of the experimental study.

Complete csv results are provided for 5 seeds to download (123456789, 234567891, 345678912, 456789123, 567891234).

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