Threshold (for decision trees): Revision history

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18 March 2023

  • curprev 21:5721:57, 18 March 2023‎ Walle talk contribs‎ 2,927 bytes +2,927‎ Created page with "{{see also|Machine learning terms}} ==Threshold in Decision Trees== In the field of machine learning, a decision tree is a widely used model for representing hierarchical relationships between a set of input features and a target output variable. The decision tree is composed of internal nodes, which test an attribute or feature, and leaf nodes, which represent a class or output value. The threshold is a critical parameter in decision tree algorithms that determines..."
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