How to Over/Under Sample data with multiple target variable(Multi-Output)?...

SMOTE for balancing data...

Saving oversampled dataset as csv file in pandas...

Oversampling a sparse dataset in Python...

How to remove minority classes with less than a certain number of examples before performing SMOTE, ...

Create balanced dataset 1:1 using SMOTE without modifying the observations of the majority class in ...

Why do I get 'Error in T[, col] <- data[, col]' when I use SMOTE in R?...

Imbalance in multi class classification problem - four target levels...

Ignore columns in SMOTE oversampling...

How can I extract the newly added rows after SMOTE (imblearn module)...

Correct way to do cross validation in a pipeline with imbalanced data...

Score decline with imblearn pipeline and SMOTE...

How do we set ratio in SMOTE to have more positive sample than negative sample?...

Retain pandas dataframe structure after SMOTE, oversampling in python...

Unbalanced data set - how to optimize hyperparams via grid search?...

Data scaling before call SMOTENC for continuos and categorical features...

AttributeError: 'DataFrame' object has no attribute 'name' when using SMOTE...

SMOTE function not working in make_pipeline...