Machine Learning
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Imbalanced Learning
Quick Definition
Handling datasets with unequal class distributions
Full Definition
Techniques for handling datasets where classes are not equally represented.
Examples
SMOTE, class weighting, undersampling, ensemble methods
Related Terms
classification
resampling
More Machine Learning Terms
AdaBoost
Combining weak classifiers with adaptive sample weighting
Gradient Boosting
Sequential ensemble method correcting previous model errors
DBSCAN
Density-based clustering finding clusters of varying shapes
Supervised Learning
Learning from labeled training data with input-output pairs
Bagging
Training models on random subsets and averaging predictions
Margin
Distance between decision boundary and nearest data points