Machine Learning
269 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
Underfitting
When a model is too simple to capture data patterns
Polynomial Regression
Extending linear models with polynomial features for nonlinear data
Time Series Analysis
Analyzing time-ordered data for patterns and forecasting
AdaBoost
Combining weak classifiers with adaptive sample weighting
A/B Testing
Statistical method comparing two versions for performance
Ridge Regression
Regularized regression using L2 penalty to prevent overfitting