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DOI: 10.14569/IJACSA.2021.0121249
PDF

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

Author 1: Omar Chamorro-Atalaya
Author 2: Carlos Chávez-Herrera
Author 3: Marco Anton-De los Santos
Author 4: Juan Anton-De los Santos
Author 5: Almintor Torres-Quiroz
Author 6: Antenor Leva-Apaza
Author 7: Abel Tasayco-Jala
Author 8: Gutember Peralta-Eugenio

International Journal of Advanced Computer Science and Applications(IJACSA), Volume 12 Issue 12, 2021.

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Abstract: 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.

Keywords: Machine learning; ensemble; bagged trees; predictive analysis; teaching performance

Omar Chamorro-Atalaya, Carlos Chávez-Herrera, Marco Anton-De los Santos, Juan Anton-De los Santos, Almintor Torres-Quiroz, Antenor Leva-Apaza, Abel Tasayco-Jala and Gutember Peralta-Eugenio, “Machine Learning Model through Ensemble Bagged Trees in Predictive Analysis of University Teaching Performance” International Journal of Advanced Computer Science and Applications(IJACSA), 12(12), 2021. http://dx.doi.org/10.14569/IJACSA.2021.0121249

@article{Chamorro-Atalaya2021,
title = {Machine Learning Model through Ensemble Bagged Trees in Predictive Analysis of University Teaching Performance},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2021.0121249},
url = {http://dx.doi.org/10.14569/IJACSA.2021.0121249},
year = {2021},
publisher = {The Science and Information Organization},
volume = {12},
number = {12},
author = {Omar Chamorro-Atalaya and Carlos Chávez-Herrera and Marco Anton-De los Santos and Juan Anton-De los Santos and Almintor Torres-Quiroz and Antenor Leva-Apaza and Abel Tasayco-Jala and Gutember Peralta-Eugenio}
}



Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

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