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Exercise

Yeo-Johnson transformation

Using the attrition_num dataset with all numerical data about employees who have left the company, you want to build a model that can predict if an employee is likely to stay, using Attrition, a binary variable coded as a factor. To get the features to behave nearly normally, you will create a recipe that implements the Yeo-Johnson transformation.

The attrition_numdata, the logistic regression lr_model, the user-defined class-evaluate() function, and the trainand test splits are loaded for you.

Instructions

100 XP
  • Create a recipe that uses Yeo-Johnson to transform all numeric features, including the target.