Machine Learning
136 views
Bagging
Quick Definition
Training models on random subsets and averaging predictions
Full Definition
Bootstrap Aggregating, an ensemble method training multiple models on random data subsets and averaging predictions.
Examples
Random Forest, parallel ensemble training, variance reduction
Related Terms
random-forest
ensemble-learning
boosting
More Machine Learning Terms
Ridge Regression
Regularized regression using L2 penalty to prevent overfitting
Kernel Trick
Transforming data to higher dimensions for linear separability
Bayesian Optimization
Optimizing expensive functions using a probabilistic model
Active Learning
Algorithm selecting most informative data points for labeling
ARIMA
Statistical model for time series analysis and forecasting
Cross-Validation
Evaluating model performance with multiple data splits