Logit models, the area under receiver characteristic curves, sensitivity, and specificity for Co-enrollment density in college networks dataset.

This article describes the data related to co-enrollment density (CD), a new network clustering index, that can predict persistence and graduation. The data hold the raw results and charts obtained with the algorithm for CD introduced in ``Co-Enrollment Density Predicts Engineering Students' Pe...

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Detalles Bibliográficos
Autores principales:	Eric Leonardo Huerta-Manzanilla, Matthew W. Ohland, Manuel Toledano-Ayala, Juan Carlos Jáuregui-Correa
Formato:	article
Lenguaje:	EN
Publicado:	Elsevier 2021
Materias:	Student retention in college Logistic regression in education Receiver operating characteristics roc curves Social network relations strength Sensitivity and specificity Computer applications to medicine. Medical informatics R858-859.7 Science (General) Q1-390
Acceso en línea:	https://doaj.org/article/fd6887e6b6a243c281cd0cbb21a3ee95
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Logit models, the area under receiver characteristic curves, sensitivity, and specificity for Co-enrollment density in college networks dataset.

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