Machine Learning (Module 2)

Which of the following algorithm is not an example of an ensemble method?

• A. Extra Tree Regressor

• B. Random Forest

• C. Gradient Boosting

• D. Decision Tree

What is true about an ensembled classifier?

1. Classifiers that are more “sure” can vote with more conviction

2. Classifiers can be more “sure” about a particular part of the space

3. Most of the times, it performs better than a single classifier

• 1 and 2

• 1 and 3

• 2 and 3

• All of the above

Which of the following option is / are correct regarding benefits of ensemble model?

1. Better performance

2. Generalized models

3. Better interpretability

• 1 and 3

• 2 and 3

• 1 and 2

• 1, 2 and 3

Which of the following is / are true about weak learners used in ensemble model?



1. They have low variance and they don’t usually overfit

2. They have high bias, so they can not solve hard learning problems

3. They have high variance and they don’t usually overfit

• 1 and 2

• 1 and 3

• 2 and 3

• None of these

If we didn't assign a base estimators to the bagging classifier it will use by default:

• Linear regression

• Decision tree

• KNN

• Logistic regression

In random forests, each tree in the ensemble is built from a different sample drawn with replacement (i.e. a bootstrap sample) from the training set

• True

• False

• Don't know the answer but i like the meme

• Don't know the answer & i'm not a meme person (really?)

Ensemble methods can be divided into two groups, sequential ensemble methods & parallel ensemble methods.

for the sequential ensemble methods, the base learners (estimators) are generated sequentially (e.g. AdaBoost).

• True

• False

"bagging" ensemble method focuses on decreasing the bais

• True

• False

Ensemble methods are meta-algorithms that combine several machine learning techniques into one predictive model

• True

• False

What are ANNs used for?

• Reproduce Human Spinal Functions
• Reproduce Human Foot Functions
• Reproduce Human Nervous System
• Reproduce Human Brain Functions