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Cross Validation: Revision history

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10 June 2025

  • curprev 06:2006:20, 10 June 2025 Thakshashila talk contribs 2,746 bytes +37 →SEO Keywords
  • curprev 05:3605:36, 10 June 2025 Thakshashila talk contribs 2,709 bytes +2,709 Created page with "= Cross-Validation = '''Cross-Validation''' is a statistical method used to estimate the performance of machine learning models on unseen data. It helps ensure that the model generalizes well and reduces the risk of overfitting. == Why Cross-Validation? == When training a model, it is important to test how well it performs on data it has never seen before. Simply evaluating a model on the same data it was trained on can lead to overly optimistic results. Cross-validat..."
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