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DECISION TREES, Metrics - Coggle Diagram
DECISION TREES
CART
Classification and Regression Trees
Regression
Classification
Pruning
Pre-Pruning
Hiperparameters
max_depth
min_samples_split
min_samples_leaf
Grid Search
GridSearchCV
GridSearch + Cross Validation
optimize Hiperparameters
Post-Pruning
Cost Complexity Pruning
complexity parameter: alpha
relative error decrease per node
Remove the subtree with the minimum alpha
Model Building - Approach
Data preparation
Partition the data into train and test set.
Built a CART model on the train data.
Tune the model and prune the tree, if required.
Test the data on test set.
Metrics
Gini Impurity
Entropy
Variance
Information Gain