Overfitting: Revision history

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18 March 2023

  • curprev 13:2513:25, 18 March 2023‎ Walle talk contribs‎ 3,570 bytes +3,570‎ Created page with "{{see also|Machine learning terms}} ==Overfitting in Machine Learning== ===Definition=== Overfitting is a phenomenon that occurs in machine learning when a model becomes excessively tailored to the training dataset, resulting in a decrease in its generalization performance on unseen data. In essence, the model learns the noise and peculiarities present in the training data, which negatively impacts its ability to make accurate predictions for new, unseen data. Overfittin..."
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