Ensemble Learning MCQs
Ensemble Learning MCQs 1. The model which consists of a group of predictors is called a Top of Form Group Entity Ensemble Set Ans: C 2. A Random forest is an ensemble of Decision Trees Top of Form True False Ans: A 3. The steps involved in deciding the output of a Random Forest are Obtain the predictions of all individual trees Predict the class that gets the most votes Both of the above None Ans: C 4. A hard voting classifier takes into consideration Top of Form The probabilities of output from each classifier The majority votes from the classifiers The mean of the output from each classifier The sum of the output from each classifier Ans: B 5. If each classifier is a weak learner, the ensemble can still be a strong learner? Top of Form True False Ans: A Bottom of FormBottom of Form 6. Ensemble methods work best when the predictors are