Back to search

Article

Job Satisfaction Prediction and Machine Learning Technique

2022-05-27

Abstract excerpt

<title>Abstract</title> <p>This paper aims to develop a reliable job satisfaction prediction model using machine learning technique. For this, this study used the dataset which is available at IBM Watson Analytics and applied generalized linear model including linear regression and binomial classification. This study essentially had two primary approaches. Firstly, this paper intends to understand the role of var...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
b4902b4f-853c-5c94-ac24-361cca8beac5
DOI
10.21203/rs.3.rs-1683972/v1
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
Job Satisfaction Prediction and Machine Learning TechniqueDOI 10.21203/rs.3.rs-1683972/v1
Select a neighboring publication to make it the new centre.