Random Forest (RF) Regression System

A Random Forest (RF) Regression System is a random forests system that implements a random forest regression algorithm to solve a random forest regression task.

• Context:
  • It is a Random Forests System for solving a Regression problem.
• Example(s):
  • sklearn.ensemble.RandomForestRegressor.
  • …
• Counter-Example(s):
  • a Random Forests Classification System, such as: sklearn.ensemble.RandomForestClassifier.
  • a Gradient Boosted Regression (GDR) System.
• See: Random Forests Model, Out-of-Bag Error, Partial Permutation, K-Nearest Neighbor Algorithm.

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