IGNOU MCS 224 2025 2026 - What is ensemble learning? Explain three primary classes of ensemble l

Question

What is ensemble learning? Explain three primary classes of ensemble learning methods.

26 Dec 2025

Answer :

Word Count : 346

Ensemble learning is a technique in artificial intelligence and machine learning where multiple models, often called “base learners” or “weak learners,” are combined to produce a more accurate and robust predictive model. The main idea behind ensemble learning is that while a single model may have limitations and make errors, combining several models can average out mistakes, reduce variance, and improve overall performance. Ensemble methods are widely used in various applications such as classification, regression, and anomaly detection due to their ability to achieve higher predictive accuracy than individual models. There are three primary classes of ensemble learning methods: bagging, boosting, and stacking. Bagging,

_________ ___ __________ _____ _________ _______ ________ ___ ______ ________ ____.
________ _________ _________ _____ ____.
________ ________ ______ __________ _________ ________ _________ _______ __________ ____ ____ _____.
_______ ______ _________ _____ ________ _________ ____.
_________ _________ _________ ________ ___ ___ ____ ___ ________ ______.
________ ____ ______ ____ ________ ________ _______ _________.
__________ _______ ______ __________ ________ _________ _________ _________.
______ _______ ______ _________ ______ __________ ________ ________ ________ ________.
___ __________ ________ ____ _______ ___ _________ ____ __________.
_________ __________ ____ __________ _____ ______.
______ ______ _____ __________ ____ _________ _____ _________ ________ __________ ______.
___ ______ ________ ______ ____ __________ __________ _______ ________ _____ ____.
____ _______ ___ ___ __________ ________ ________ _________.
_______ _________ _________ ______ _____ _________ ______ _____ _______.
____ ___ ____ ___ _______ ___ _______ ___.
______ _______ _____ ______ ______ _____ ____ __________ ____ ______ __________ ________.
____ ____ ____ _______ ____ ____.
___ ___ _____ ____ ______.
______ ________ _________ ________ ___ _______ _____ __________.
_______ ______ _____ ________ _______ _____ __________.
___ _______ _____ _____ _____ __________ ________ _____ ___ ____ ___.
___ ___ ________ _________ _______ _______ ________ __________ ___ __________ __________ ____.
_______ ___ ____ _______ ________ _______ _________ _________.
_________ ___ __________ _____ ______ ___ ___ ____ ____.
_______ _______ ____ ____ ___ ________ ________ ________ ___ ____ ___ ____.
_______ ___ ____ _____ ____ _________.
_________ _______ ________ _______ _________ ___ ______ ___ ___ __________ _____.
_______ _________.

IGNOU ACADEMY

Your IGNOU journey, made easier.

Solved Assignments
Study Notes
Guess Papers
Question Papers

Call Us WhatsApp

STUDY • PREPARE • SUCCEED

Skip in 10

Related Questions

1	2	3
4	8	-
7	6	5

Name	Hair	Height	Weight	Lotion	Result
Sarah	blonde	average	light	no	sunburned (positive)
Dana	blonde	tall	average	yes	none (negative)
Alex	brown	short	average	yes	none
Annie	blonde	short	average	no	sunburned
Emily	red	average	heavy	no	sunburned
Pete	brown	tall	heavy	no	none
John	brown	average	heavy	no	none
Katie	blonde	short	light	yes	none

IGNOU Solved Assignments Assignments Ignou Projects Project Previous Year Solved Exam Papers Notes Notes Sample Question Papers Sample Question Papers