Machine Learning
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Random Forest
Quick Definition
Ensemble of decision trees that votes on predictions
Full Definition
An ensemble method constructing multiple decision trees and outputting the mode of classes.
Examples
classification, regression, feature importance
Related Terms
decision-tree
ensemble-learning
gradient-boosting
More Machine Learning Terms
Cross-Validation
Evaluating model performance with multiple data splits
Regularization
Techniques constraining model complexity to prevent overfitting
Data Augmentation
Artificially increasing training data through modified copies
Imbalanced Learning
Handling datasets with unequal class distributions
Bagging
Training models on random subsets and averaging predictions
Model Selection
Choosing the best ML model from candidates