Machine Learning Models for Salary Prediction in Peruvian Teachers of Regular Basic Education

Tinoco Ramos, José; Yupanqui Arellano, Jhoset; Soria Quijaite, Juan Jesus; Saboya Rios, Nemias

doi:10.1007/978-3-031-70518-2_46

Machine Learning Models for Salary Prediction in Peruvian Teachers of Regular Basic Education

Author(s)

Tinoco Ramos, José

Universidad Peruana Unión

Yupanqui Arellano, Jhoset

Universidad Peruana Unión

Soria Quijaite, Juan Jesus

Universidad Peruana Unión

Saboya Rios, Nemias

Universidad Peruana Unión

Date Issued

1 de enero de 2024

Type

Book chapter

Series/Report No.

Lecture notes in networks and systems

Start Page

534

End Page

552

DOI

10.1007/978-3-031-70518-2_46

ISSN

2367-3370

2367-3389

ISBN

9783031705175

9783031705182

Abstract

This paper presents an analysis of machine learning (ML) models to predict the salaries of 108,317 appointed teachers in Ventanilla, Lima, Peru, using recent data. The focal point of the study is appointed teachers, deliberately excluding salaries of hired...