Dataset - LDM

Empirical evaluation of imbalance data strategies

This research tested the following well known strategies to deal with binary imbalanced data on 82 different real life data sets
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Model-based Oversampling for Imbalanced Sequence Classification

Model-based oversampling for imbalanced sequence classification.
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SMOTE: Synthetic Minority Over-Sampling Technique

SMOTE: synthetic minority over-sampling technique.
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3 datasets found