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Predicting Absenteeism at work

Predict absenteeism at work

It is a simple workflow in HR Analytics demonstrating how to predict rate of absence. Target, AbsenceRate is continuous. Dataset is from Kaggle (see link below). We also treat the problem as a classification problem after binning AbsenceRate into two classes.

Predicting absenteeism at workDataSource: https://www.kaggle.com/datasets/HRAnalyticRepository/absenteeism-datasetLast amended: 09th Jan, 2022My folder: C:\Users\Ashok\OneDrive\Documents\hr_analytics\absenteeism Classification example Regression example filter outcolumns as ID, namesRandom partition70:30defaultsettingsR^2 of 0.99Visual Inspecttion:Relationshipbetween predicted and actual AbsenceRateread dataBinAbsenceRatedefault settingsremoveAbsenceRate70:3099% Column Filter Partitioning Simple RegressionTree Learner Simple RegressionTree Predictor Numeric Scorer Scatter Plot(JFreeChart) Table Reader Numeric Binner DecisionTree Learner Decision TreePredictor Column Filter Partitioning Scorer Predicting absenteeism at workDataSource: https://www.kaggle.com/datasets/HRAnalyticRepository/absenteeism-datasetLast amended: 09th Jan, 2022My folder: C:\Users\Ashok\OneDrive\Documents\hr_analytics\absenteeism Classification example Regression example filter outcolumns as ID, namesRandom partition70:30defaultsettingsR^2 of 0.99Visual Inspecttion:Relationshipbetween predicted and actual AbsenceRateread dataBinAbsenceRatedefault settingsremoveAbsenceRate70:3099%Column Filter Partitioning Simple RegressionTree Learner Simple RegressionTree Predictor Numeric Scorer Scatter Plot(JFreeChart) Table Reader Numeric Binner DecisionTree Learner Decision TreePredictor Column Filter Partitioning Scorer

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To use this workflow in KNIME, download it from the below URL and open it in KNIME:

Download Workflow
Created by: Ashok
Created at: 2023-01-09
On NodePit since: 2023-01-10
Last update: 2024-04-27
Created with KNIME version: v4.7.0
Tags: HR AnalyticsRegressionPeople Analytics

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