IBM-HR-Analytics-Employee-Attrition--Performance

OpenML dataset with id 43696

Author name not available (Why is that?)

Full work available at URL: https://api.openml.org/data/v1/download/22102521/IBM-HR-Analytics-Employee-Attrition--Performance.arff

Upload date: 24 March 2022

Dataset Characteristics

Number of features: 35 (numeric: 26, symbolic: 0 and in total binary: 0 )
Number of instances: 1,470
Number of instances with missing values: 0
Number of missing values: 0

Description

Uncover the factors that lead to employee attrition and explore important questions such as show me a breakdown of distance from home by job role and attrition or compare average monthly income by education and attrition. This is a fictional data set created by IBM data scientists. Education

   1 'Below College'
   2 'College'
   3 'Bachelor'
   4 'Master'
   5 'Doctor'

EnvironmentSatisfaction

   1 'Low'
   2 'Medium'
   3 'High'
   4 'Very High'

JobInvolvement

       1 'Low'
   2 'Medium'
   3 'High'
   4 'Very High'

JobSatisfaction

      1 'Low'
   2 'Medium'
   3 'High'
   4 'Very High'

PerformanceRating

       1 'Low'
   2 'Good'
   3 'Excellent'
   4 'Outstanding'

RelationshipSatisfaction

       1 'Low'
   2 'Medium'
   3 'High'
   4 'Very High'

WorkLifeBalance

       1 'Bad'
   2 'Good'
   3 'Better'
   4 'Best'

This page was built for dataset: IBM-HR-Analytics-Employee-Attrition--Performance