IKH

Comprehension – Hyperparameters

Consider a decision tree classification model that has a very high training accuracy and a low test accuracy. The training accuracy is 98%, and the test accuracy is 55%. The ‘min_samples_split’ for this model is 5, and the ‘max_depth’ is 20.

Please note that, unless explicitly specified, ‘node’ does not mean the terminal node (i.e. leaf) – it refers to an internal node. 

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