Machine Learning Resources

What is CART?

CART, or Classification and Regression Trees, simply refers to the standard algorithm for creating a decision tree.

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What is Bagging?

Bagging, or “Bootstrap Aggregation”, refers to an ensemble design structure in which each instance of the ensemble, such as an individual decision tree in a Random Forest, is created on a different subset of the original dataset. 

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What is Random Forest?

Random Forest is a supervised machine learning algorithm, which can be used for solving both regression and classification problems, including both binary and multi-class classification.

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