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arXiv · 2502.07213

Evaluation for Regression Analyses on Evolving Data Streams

Yibin Sun·Heitor Murilo Gomes·Bernhard Pfahringer·Albert Bifet
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Abstract

The paper explores the challenges of regression analysis in evolving data streams, an area that remains relatively underexplored compared to classification. We propose a standardized evaluation process for regression and prediction interval tasks in streaming contexts. Additionally, we introduce an innovative drift simulation strategy capable of synthesizing various drift types, including the less-studied incremental drift. Comprehensive experiments with state-of-the-art methods, conducted under the proposed process, validate the effectiveness and robustness of our approach.

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Yibin Sun, Heitor Murilo Gomes, Bernhard Pfahringer, Albert Bifet. 2025-02-11. Evaluation for Regression Analyses on Evolving Data Streams. https://arxiv.org/abs/2502.07213

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