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
LightGBM
Fast gradient boosting framework using histogram splitting
Gradient Boosting
Sequential ensemble method correcting previous model errors
Cross-Validation
Evaluating model performance with multiple data splits
Polynomial Regression
Extending linear models with polynomial features for nonlinear data
Ridge Regression
Regularized regression using L2 penalty to prevent overfitting
K-Means
Partitioning data into k clusters by updating centroids