By creating a missing data model, you can understand the underlying data assumptions critical to your data science model.
A companion notebook to Imbalanced Classification with mlr, here we compare non-SMOTE and SMOTE modeling using logistic regression, decision trees, and randomForest.
This notebook is a tutorial on using mlr to solve an imbalanced data problem: predicting employee attrition.