Salary Prediction with Machine Learning in Teachers Hired from the Region of Cusco Perú

This article presents an analysis of machine learning (ML) models to predict the salaries of 11,392 contracted teachers appointed at Ugel in the Cusco region of Peru, using recent data from the unique payroll system. The core element of the study is the hired...

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Autores principales: Canahuire Hilari, Segundo, Larico Carbajal, Joel, Pineda, Ferdinand, Soria Quijaite, Juan Jesus
Formato: Capítulo de libro
Lenguaje:inglés
Publicado: 2024
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author Canahuire Hilari, Segundo
Larico Carbajal, Joel
Pineda, Ferdinand
Soria Quijaite, Juan Jesus
author_browse Canahuire Hilari, Segundo
Larico Carbajal, Joel
Pineda, Ferdinand
Soria Quijaite, Juan Jesus
author_facet Canahuire Hilari, Segundo
Larico Carbajal, Joel
Pineda, Ferdinand
Soria Quijaite, Juan Jesus
author_sort Canahuire Hilari, Segundo
collection Producción científica
description This article presents an analysis of machine learning (ML) models to predict the salaries of 11,392 contracted teachers appointed at Ugel in the Cusco region of Peru, using recent data from the unique payroll system. The core element of the study is the hired...
format Book chapter
id oai:cris.upeu.edu.pe:20.500.15037/989
institution UPeU
language English
publishDate 2024
publishDateRange 2024
publishDateSort 2024
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spelling oai:cris.upeu.edu.pe:20.500.15037/9892026-11-02T22:00:04ZSalary Prediction with Machine Learning in Teachers Hired from the Region of Cusco PerúCanahuire Hilari, SegundoLarico Carbajal, JoelPineda, FerdinandSoria Quijaite, Juan JesusThis article presents an analysis of machine learning (ML) models to predict the salaries of 11,392 contracted teachers appointed at Ugel in the Cusco region of Peru, using recent data from the unique payroll system. The core element of the study is the hired...Book chapter10.1007/978-3-031-70595-3_14https://hdl.handle.net/20.500.15037/989W4403685683enLecture notes in networks and systems978303170594697830317059532367-33702367-33892024-01-012026-06-13T09:42:27Z2026-06-13T09:42:27Z
spellingShingle Canahuire Hilari, Segundo
Larico Carbajal, Joel
Pineda, Ferdinand
Soria Quijaite, Juan Jesus
Salary Prediction with Machine Learning in Teachers Hired from the Region of Cusco Perú
title Salary Prediction with Machine Learning in Teachers Hired from the Region of Cusco Perú
title_full Salary Prediction with Machine Learning in Teachers Hired from the Region of Cusco Perú
title_fullStr Salary Prediction with Machine Learning in Teachers Hired from the Region of Cusco Perú
title_full_unstemmed Salary Prediction with Machine Learning in Teachers Hired from the Region of Cusco Perú
title_short Salary Prediction with Machine Learning in Teachers Hired from the Region of Cusco Perú
title_sort salary prediction with machine learning in teachers hired from the region of cusco peru
url https://hdl.handle.net/20.500.15037/989
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AT pinedaferdinand salarypredictionwithmachinelearninginteachershiredfromtheregionofcuscoperu
AT soriaquijaitejuanjesus salarypredictionwithmachinelearninginteachershiredfromtheregionofcuscoperu