Visualising and building Random Forests, applying ensemble learning, and analysing results
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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.
Train with both criteria and compare their performance side-by-side.