Article

Enhancing Logistic Regression Performance Through Hyperparameter Tuning: A Comparative Evaluation Across Datasets

2026-01-09

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<title>Abstract</title> <p> <bold>Background:</bold> Logistic regression (LR) is widely used in binary and multi-class classification tasks, yet its predictive performance is highly sensitive to hyperparameter configuration. Suboptimal choices can lead to overfitting, underfitting, reduced generalization, and inconsistent model behavior across datasets. This study aims to systematically enhance LR performance b...

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Literature Corpus work: 55eb8058-b718-5560-be99-0612cceca994
DOI: 10.21203/rs.3.rs-8304042/v1

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