What are ensemble models? Explain how ensemble techniques yield better learning as compared to traditional classification ML algorithms?

4 years ago

Machine Learning

Ensemble is a group of models that are used together for prediction both in classification and regression class. Ensemble learning helps improve ML results because it combines several models. By doing so, it allows a better predictive performance compared to a single model.
They are superior to individual models as they reduce variance, average out biases, and have lesser chances of overfitting.

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Sanisha Maharjan

Sanisha Maharjan

Jan 11, 2022

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