Ensemble Learning

Ensemble Learning

2nd Grade

10 Qs

quiz-placeholder

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Ensemble Learning

Ensemble Learning

Assessment

Quiz

Fun

2nd Grade

Medium

Created by

Nima Dema

Used 4+ times

FREE Resource

10 questions

Show all answers

1.

MULTIPLE SELECT QUESTION

45 sec • 1 pt

Which of the following are basic ensemble techniques?

Stacking

Bagging

Voting

XGBoosting

2.

MULTIPLE CHOICE QUESTION

30 sec • Ungraded

In the context of ensemble learning, what does majority voting mean?

Selecting the most frequent prediction from multiple models.

Combining model predictions by averaging the probabilities

Choosing the prediction with the highest probability.

Using a weighted sum of predictions from different models

3.

OPEN ENDED QUESTION

3 mins • 1 pt

Differentiate basic ensemble techniques from boosting ensemble techniques.

Evaluate responses using AI:

OFF

4.

FILL IN THE BLANK QUESTION

1 min • 1 pt

_______is an ensemble learning technique that improves the performance of a machine learning model by sequentially training weak models, with each new model focusing on correcting the errors made by the previous models.

5.

FILL IN THE BLANK QUESTION

1 min • 1 pt

Media Image

The VotingClassifier with voting = "_____" would classify the sample as "class 1" based on the majority class label.

6.

MULTIPLE CHOICE QUESTION

30 sec • Ungraded

The first parameter of VotingClassifier and VotingRegressor is

estimators

estimator

7.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Voting uses single model with different samples of training datasets while Bagging uses different multiple estimators with same training dataset.

True

False

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