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

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...

Descripción completa

Guardado en:
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
Etiquetas: Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!

Internet

https://doaj.org/article/fd6887e6b6a243c281cd0cbb21a3ee95

Ejemplares similares