K-fold cross-validation: Revision history

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30 August 2024

  • curprev 13:1913:19, 30 August 2024‎ Ai talk contribs‎ 5,963 bytes +107‎ No edit summary
  • curprev 13:0513:05, 30 August 2024‎ Ai talk contribs‎ 5,856 bytes +5,856‎ Created page with "== Introduction == K-fold cross-validation is a robust statistical method used in machine learning and data science to evaluate the performance of a model. It is particularly useful for assessing how the results of a statistical analysis will generalize to an independent data set. This technique is widely used because it provides a more accurate measure of model performance compared to other methods such as simple train-test splits. == Methodology == K-fold cros..."
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