Decision Trees
Aim
To implement the Decision Tree algorithm for both binary and multi-class classification by learning feature-based decision rules through recursive data partitioning and to analyze its predictive performance.
To implement the Decision Tree algorithm for both binary and multi-class classification by learning feature-based decision rules through recursive data partitioning and to analyze its predictive performance.