"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.