Técnicas de soft computing para determinar los factores que influyen en la deserción estudiantil

Técnicas de soft computing para determinar los factores que influyen en la deserción estudiantil

The study conducted at the Technical State University of Quevedo delved into student dropout by examining academic, socioeconomic, and personal data through Soft Computing techniques, utilizing 225 variables and 160,000 records. Algorithms such as Random Forest, Gradient Boosting, and SVM were compa...

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Bibliographic Details
Main Author: Espinoza Astudillo, Joseph Steven (author)
Format: bachelorThesis
Language:spa
Published: 2024
Subjects:
Predicción
Educación Superior
Redes neuronales artificiales
Modelos predictivos
Online Access:https://repositorio.uteq.edu.ec/handle/43000/7250
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https://repositorio.uteq.edu.ec/handle/43000/7250

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