But there is also some empirical work comparing various algorithms across many datasets and drawing some conclusions, what types of problems tend to do better with trees vs logistic regression.

This month we'll look at classification and regression trees (CART), a simple but powerful approach to prediction 3. Unlike logistic and linear regression, CART does not develop a prediction equation.

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For more information on this research see: Comparison and Analysis of the Effectiveness of Linear Regression, Decision Tree, and Random Forest Models for Health Insurance Premium Forecasting.