Extra Education
← All Machine Learning (ML) questions
1

Suppose there are 25 base classifiers. Each classifier has error rates of e = 0.35. Suppose you are using averaging as ensemble technique. What will be the probabilities that ensemble of above 25 classifiers will make a wrong prediction? Note: All classifiers are independent of each other

Correct Answer: 0.06

Make the most of this question

This page focuses on one Machine Learning (ML) question from Engineering. After checking the answer, return to the topic list to practice more or run a timed set.

← More Machine Learning (ML) MCQsAll Engineering topicsMock test hub
Machine Learning (ML) MCQ: Suppose there are 25 base classifiers. Each classifier has error rates of e = 0.35. Suppose you are using averaging as ensemble technique. What will be the probabilities that ensemble of above 25 classifiers will make a wrong prediction? Note: All classifiers are independent of each other | Extra Education