Evaluation for Regression Analyses on Evolving Data Streams

• URL: http://arxiv.org/abs/2502.07213v2
• Date: Wed, 19 Feb 2025 01:03:33 GMT
• Title: Evaluation for Regression Analyses on Evolving Data Streams
• Authors: Yibin Sun, Heitor Murilo Gomes, Bernhard Pfahringer, Albert Bifet,
• Abstract summary: The paper explores the challenges of regression analysis in evolving data streams.<n>We propose a standardized evaluation process for regression and prediction interval tasks in streaming contexts.<n>We introduce an innovative drift simulation strategy capable of synthesizing various drift types.
• Score: 12.679233262168529
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• 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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