10 Questions
What is the basic idea behind Ensemble Classifiers?
Building different 'experts' and letting them vote
What is a disadvantage of Ensemble Classifiers?
The combined classifier is not so transparent (black box)
What is the purpose of Unweighted voting in Ensemble of Classifiers?
To combine the classification results from different classifiers
What does Ensemble-based methods involve?
Creation of large set of classifiers, here called the 'base learner'
What is an advantage of Ensemble Classifiers?
Improvement in predictive performance
What is the main idea behind Ensemble Classifiers?
Combining classifiers to improve performance
What is a disadvantage of Ensemble Classifiers?
The combined classifier is not so transparent (black box)
What is the purpose of Unweighted voting in Ensemble of Classifiers?
To give each classifier equal voting power
What does Ensemble-based methods involve?
Combining a large set of classifiers
What is an advantage of Ensemble Classifiers?
Improvement in predictive performance
Test your knowledge of ensemble methods, decision trees, and random forests with this quiz. Challenge yourself with questions on combining classifiers to improve performance and understanding the concepts presented by Professor Gajendra P.S. Raghava, Head of the Center for Computational Biology at IIIT Delhi.
Make Your Own Quizzes and Flashcards
Convert your notes into interactive study material.
Get started for free
