Machine Learning Model through Ensemble Bagged Trees in Predictive Analysis of University Teaching Performance

The objective of this study is to analyze and discuss the metrics of the Machine Learning model through the Ensemble Bagged Trees algorithm, which will be applied to data on satisfaction with teaching performance in the virtual environment. Initially the classification analysis through the Matlab R2...

Full description

Saved in:
Bibliographic Details
Published in:International journal of advanced computer science & applications 2021-01, Vol.12 (12)
Main Authors: Chamorro-Atalaya, Omar, Chávez-Herrera, Carlos, Santos, Marco Anton-De los, Santos, Juan Anton-De los, Torres-Quiroz, Almintor, Leva-Apaza, Antenor, Tasayco-Jala, Abel, Peralta-Eugenio, Gutember
Format: Article
Language:English
Subjects:
Accuracy
Algorithms
Artificial intelligence
Business metrics
Colleges & universities
Computer science
Data collection
Data processing
Education
Machine learning
Prediction models
Questionnaires
Sensitivity
Software
Students
Teaching
Virtual environments
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:The objective of this study is to analyze and discuss the metrics of the Machine Learning model through the Ensemble Bagged Trees algorithm, which will be applied to data on satisfaction with teaching performance in the virtual environment. Initially the classification analysis through the Matlab R2021a software, identified an Accuracy of 81.3%, for the Ensemble Bagged Trees algorithm. When performing the validation of the collected data, and proceeding with the obtaining of the predictive model, for the 4 classes (satisfaction levels), total precision values of 82.21%, Sensitivity of 73.40%, Specificity of 91.02% and of 90.63% Accuracy. In turn, the highest level of the area under the curve (AUC) by means of the Receiver operating characteristic (ROC) is 0.93, thus considering a sensitivity of the predictive model of 93%. The validation of these results will allow the directors of the higher institution to have a database, to be used in the process of improving the quality of the educational service in relation to teaching performance.
ISSN:2158-107X
2156-5570
DOI:10.14569/IJACSA.2021.0121249