Question: # 1 ) ) ) How many base Decision Tree classifiers are included in the Bagging ensemble model created in this code? Group of answer

#1)))
How many base Decision Tree classifiers are included in the Bagging ensemble model created in this code?
Group of answer choices
100
50
10
200
#2))))What is the purpose of the 'max_depth' parameter in the base Decision Tree classifier?
Group of answer choices
It controls the randomness in the model.
It specifies the learning rate.
It determines the maximum depth of each decision tree.
It sets the number of base classifiers.
# 1 ) ) ) How many base Decision Tree classifiers

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