Gini impurity: Revision history

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18 March 2023

  • curprev 19:0219:02, 18 March 2023‎ Walle talk contribs‎ 2,571 bytes +2,571‎ Created page with "{{see also|Machine learning terms}} ==Introduction== In the field of machine learning, Gini impurity is a metric used to measure the impurity or disorder within a dataset. It is commonly employed in decision tree algorithms, such as the Classification and Regression Tree (CART) algorithm, to decide the best splitting points for nodes. The Gini impurity index quantifies the probability of misclassification by calculating the degree of purity in a dataset, which he..."
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