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algorithm
Random Forest
beginner
supervised
non parametric
classification
regression
tabular
Random Forest averages many deliberately varied decision trees to create a more stable predictor.
Mechanisms
bagging
random subspaces
threshold rules
Properties
ensemble
nonlinear
Constraints
poor extrapolation
Practical profile
Explainability
medium
Training cost
medium
Inference cost
medium
Data appetite
medium
Concepts to understand
Bias and Variance
Data Leakage