Which of the following parameters can be tuned for finding good ensemble model in bagging based algorithms?
1. Max number of samples
2. Max features
3. Bootstrapping of samples
4. Bootstrapping of features

Which of the following parameters can be tuned for finding good ensemble model in bagging based algorithms?
1. Max number of samples
2. Max features
3. Bootstrapping of samples
4. Bootstrapping of features Correct Answer all of above

Related Questions

Find the missing number?
Missing Number Finding mcq question image
Find the missing number?
Missing Number Finding mcq question image
Find the missing number?
Missing Number Finding mcq question image
Find the missing number?
Missing Number Finding mcq question image
Find the missing number?
Missing Number Finding mcq question image