In this tutorial we use an SVM and SMOTE and the Iris data to study how the decision regions change with the amount of oversampling

In this tutorial we study the `s` parameter in rose and the effect of increasing it.

In this tutorial we apply SMOTE and random forest to predict customer churn based on continuous attributes.

In this tutorial we use a purely categorical dataset to predict mushroom odour.

In this tutorial we extend the SMOTE tutorial to include both categorical and continuous data for churn prediction

In this tutorial we oberve the effects of the hyperparameters found in ENN undersampling with an SVM model

In this tutorial we combine SMOTE with TomekUndersampler and a classification model from MLJ for fraud detection

In this tutorial we use BalancedBagging from MLJBalancing with Decision Tree to predict Cerebral Strokes