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What does a decision tree risk without depth or leaf size constraints?

A Overfitting by growing until every training example is perfectly classified
B Underfitting
C Failing to converge
D Numerical instability

Answer

Overfitting by growing until every training example is perfectly classified

Pruning, maximum depth and minimum samples per leaf are the standard controls, and ensembles address it more effectively still.

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