The package implements 86 variants of the Synthetic Minority Oversampling Technique (SMOTE). Besides the implementations, an easy to use model selection framework is supplied to enable the rapid ...
Severe class imbalance: failures (pos) are ~1.7% of the data. Heavy missing values (the raw data uses na markers). Train / validation / test split — the training data is split 80/20 (stratified) ...
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