Undersample
Abstract
To address imbalance in data labels, reduce majority classes to minority class.
To address imbalance in data labels, reduce majority classes to minority class.
Tip
Only use if you have a sufficient amount of data. With small data sets, you can lose useful data by undersampling.
When to use this tool
Use to address classification problems in your data.