Decision forest: Revision history

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18 March 2023

  • curprev 19:0119:01, 18 March 2023‎ Walle talk contribs‎ 4,307 bytes +4,307‎ Created page with "{{see also|Machine learning terms}} ==Introduction== A '''decision forest''' (also known as a '''random forest''') is an ensemble learning method in machine learning that combines multiple decision trees to generate a more accurate and robust prediction model. This method is widely used in classification and regression tasks, and it can handle both categorical and numerical input features. Decision forests are known for their ability to mitigate overfitting and improve g..."
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