Villarreal-Torres, Henry and Ángeles-Morales, Julio and Cano-Mejía, Jenny and Mejía-Murillo, Carmen and Flores-Reyes, Gumercindo and Cruz-Cruz, Oscar and Urcia-Quispe, Manuel and Palomino-Márquez, Manuel and Solar-Jara, Miguel Ángel and Escobedo-Zarzosa, Reyna (2024) Comparative analysis of performance of AutoML algorithms: Classification model of payment arrears in students of a private university. EAI Endorsed Transactions on Scalable Information Systems.
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Abstract
The impact of artificial intelligence in our society is important due to the innovation of processes through data science to know the academic and sociodemographic factors that contribute to late payments in university students, to identify them and make timely decisions for implementing prevention
| Item Type: | Article |
|---|---|
| Date Deposited: | 04 Mar 2026 18:07 |
| Last Modified: | 16 Apr 2026 22:33 |
| URI: | http://eprints.eai.eu/id/eprint/51233 |
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