Decision Tree, Entropy, Information Gain, Gini Index.
technique involves tuning the hyperparameters of the decision tree model prior to the training pipeline. The hyperparameters of the DecisionTreeClassifier in SkLearn include max_depth, min_samples_leaf, min_samples_split which can be tuned to early stop the growth of the tree and prevent the model