HR: Human Resources Data

In pbiecek/DALEX2: Descriptive mAchine Learning EXplanations

Description

Datasets HR and HR_test are artificial, generated form the same model. Structure of the dataset is based on a real data, from Human Resources department with information which employees were promoted, which were fired.

Usage

data(HR)

Format

a data frame with 10000 rows and 6 columns

Details

Values are generated in a way to: - have interaction between age and gender for the 'fired' variable - have non monotonic relation for the salary variable - have linear effects for hours and evaluation.

• gender - gender of an employee.

• age - gender of an employee in the moment of evaluation.

• hours - average number of working hours per week.

• evaluation - evaluation in the scale 2 (bad) - 5 (very good).

• salary - level of salary in the scale 0 (lowest) - 5 (highest).

• status - target variable, either 'fired' or 'promoted' or 'ok'.

pbiecek/DALEX2 documentation built on May 3, 2019, 5:48 p.m.