Decision Trees

Visualising and building trees, applying pruning, and analysing results

STEPS

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Choose the metric to evaluate the quality of a split in the decision tree.

Measures the probability of misclassifying a randomly chosen element.

Measures the level of impurity or disorder in a group.

Choose the maximum depth of the decision tree to control model complexity.

Simple tree

Balanced

Deeper tree

No limit

Interactive traversal animation

Max Depth

Impurity Criterion

Test Sample

Animation Speed

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Selected Loan Application

Select a sample to view contributions