Vista Academy · Machine LearningLesson 21 of 24

Ensemble Learning

Bagging, Random Forest, boosting and practical model selection.

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CONCEPT 1 / 8

Ensemble Learning

Combine models for stronger predictions

Model 1Model 2Model 3Vote / Average

Understand the idea

Ensemble learning combines predictions from multiple models rather than relying on one model. Classification ensembles can vote; regression ensembles can average predictions.

Business connection

A bank can combine several models to make more robust churn-risk predictions.

Checks required

1. Try it

Activity

Three models predict churn: Yes, Yes, No. What does majority voting predict?

2. Check your understanding

MCQ

What is the core idea of ensemble learning?

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