Designing Workforce Management Systems for Industry 4.0

8Data-Centric Predictive Modeling of Turnover Rate and New Hire in Workforce Management System

Chandra Kumar Dixit, Parin Somani, Shashi Kant Gupta, and Anchal Pathak

DOI: 10.1201/9781003357070-8

CONTENTS

1. 8.1 Introduction

2. 8.2 Problem Statement

3. 8.3 Proposed Work

   1. 8.3.1 Data Acquisition

   2. 8.3.2 Data Preprocessing Using Normalization

   3. 8.3.3 Feature Extraction Using Principal Component Analysis (PCA)

   4. 8.3.4 Prediction Using the Evolutionary Gradient Boosted Random Forest Algorithm (EGB-RFA)

4. 8.4 Results and Discussion

   1. 8.4.1 Accuracy

   2. 8.4.2 Prediction Error

   3. 8.4.3 Recall

   4. 8.4.4 F-Measure

   5. 8.4.5 Sensitivity

5. 8.5 Conclusion

6. References

8.1 INTRODUCTION

Today's organizations place a premium on keeping a hold of their qualified human resources. (Dwesini, ...