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
Confusion Matrix
Table visualizing classifier performance by class predictions
Learning Rate
Hyperparameter controlling gradient descent step size
Logistic Regression
Statistical model estimating binary outcome probabilities
Support Vector Machine
Finding optimal hyperplane to separate classes with max margin
Dropout
Regularization randomly deactivating neurons during training
Kernel Trick
Transforming data to higher dimensions for linear separability