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undersampling

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oversampling sampling data dataset imbalance class majority minority distribution bias variance model training classification prediction accuracy precision recall metric evaluation algorithm machine learning statistics probability random selection subset population sample frequency weight weighting resampling bootstrapping synthetic generation augmentation underrepresentation skew skewness outlier noise signal aliasing digitization quantization interpolation extrapolation error loss optimization hyperparameter cross validation stratification layer neuron network inference generalization overfitting underfitting threshold cutoff ratio proportion percentage count volume density

Last Updated: May 2026•Report an Error

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