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
Hyperparameter Tuning
Finding optimal configuration values before training
Decision Tree
Tree-like model splitting data based on feature values
Unsupervised Learning
Discovering hidden patterns in unlabeled data
Bayesian Optimization
Optimizing expensive functions using a probabilistic model
Supervised Learning
Learning from labeled training data with input-output pairs
Semi-Supervised Learning
Combining small labeled datasets with large unlabeled data