Threshold (for decision trees): Difference between revisions

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..."