Machine Learning
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Ensemble Learning
Quick Definition
Combining multiple models for better predictions
Full Definition
Combining multiple ML models to produce better predictions than any single model.
Examples
Random Forest, XGBoost, model stacking
Related Terms
random-forest
gradient-boosting
bagging
More Machine Learning Terms
Supervised Learning
Learning from labeled training data with input-output pairs
Confusion Matrix
Table visualizing classifier performance by class predictions
Multi-Task Learning
Training one model for multiple related tasks simultaneously
Random Forest
Ensemble of decision trees that votes on predictions
Markov Chain
Stochastic model where events depend only on previous state
Feature Engineering
Creating and transforming input variables to improve performance