Exercise

"Weak" decision tree

In the previous exercise you built two decision trees. Which one is fine-tuned and which one is "weak"?

Decision tree "A":

min_samples_leaf = 3 and min_samples_split = 9
F1-Score: ~58%

Decision tree "B":

max_depth = 4 and max_features = 2
F1-Score: ~53%

Both classifiers are available for you as clf_A and clf_B.

Instructions

50 XP

Possible Answers

Model A is "weak" while model B is fine-tuned.
Model A is fine-tuned while model B is "weak".
Both models are fine-tuned with optimal parameters.
Both models are "weak", as they are restricted.