RF

Random Forest

Ensemble of decision trees -- robust, interpretable, common baseline.

When you'd see it: Classical machine learning on structured, tabular data. RF is a common, strong default model.

Why it matters: A Random Forest combines many decision trees and averages them, which is accurate, robust, and resistant to overfitting on tabular data. It is often the model to beat before reaching for deep learning.