Evaluation Metrics: Revision history

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10 June 2025

  • curprev 06:2006:20, 10 June 2025 Thakshashila talk contribs 3,123 bytes +37 SEO Keywords
  • curprev 05:4605:46, 10 June 2025 Thakshashila talk contribs 3,086 bytes +3,086 Created page with "= Evaluation Metrics = '''Evaluation Metrics''' are quantitative measures used to assess the performance of machine learning models. Choosing the right metric is essential for understanding how well a model performs, especially in classification and regression problems. == Why Are Evaluation Metrics Important? == * Provide objective criteria to compare different models. * Help detect issues like overfitting or underfitting. * Guide model improvement and selection. * R..."