Application of logistic regression to predict the failure of students in subjects of a mathematics undergraduate course.
Stella F. CostaMichael M. DinizPublished in: Educ. Inf. Technol. (2022)
Keyphrases
- logistic regression
- undergraduate students
- predictive power
- naive bayes
- logistic regression models
- decision trees
- support vector
- chi square
- learning process
- learning environment
- breast cancer
- credit scoring
- data sets
- loss function
- similarity measure
- random forests
- classification trees
- linear svm
- high school
- student learning
- high dimensional
- neural network