Random forest: Revision history

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18 March 2023

  • curprev 21:5621:56, 18 March 2023‎ Walle talk contribs‎ 3,423 bytes +3,423‎ Created page with "{{see also|Machine learning terms}} ==Introduction== Random Forest is a versatile and powerful ensemble learning method used in machine learning. It is designed to improve the accuracy and stability of predictions by combining multiple individual decision trees, each of which is trained on a random subset of the available data. This technique helps to overcome the limitations of a single decision tree, such as overfitting and high variance, while preserving the b..."
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