Feature Selection: Revision history

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4 November 2024

  • curprev 16:1616:16, 4 November 2024‎ 핵톤 talk contribs‎ 5,626 bytes +5,626‎ Created page with "'''Feature Selection is a process in machine learning and data science that involves identifying and selecting the most relevant features (or variables) in a dataset to improve model performance, reduce overfitting, and decrease computational cost'''. By removing irrelevant or redundant features, feature selection simplifies the model, enhances interpretability, and often improves accuracy. ==Importance of Feature Selection== Feature selection is a crucial step in the mo..." Tag: Visual edit
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