Machine Learning
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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
Logistic Regression
Statistical model estimating binary outcome probabilities
UMAP
Fast dimensionality reduction preserving local and global structure
Gradient Boosting
Sequential ensemble method correcting previous model errors
Support Vector Machine
Finding optimal hyperplane to separate classes with max margin
Semi-Supervised Learning
Combining small labeled datasets with large unlabeled data
Confusion Matrix
Table visualizing classifier performance by class predictions