Difference between revisions of "Gender: Male/Female"
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* JRip decision tree model performed more equitably than a J48 decision tree model for both male and female students. | * JRip decision tree model performed more equitably than a J48 decision tree model for both male and female students. | ||
* JRip model had moderately better performance for female students than male students | * JRip model had moderately better performance for female students than male students | ||
Hu and Rangwala (2020) [https://files.eric.ed.gov/fulltext/ED608050.pdf pdf] | |||
* Models predicting if student at-risk for failing a course | |||
* performed worse for male students, but that this result is inconsistent across university courses | |||
Revision as of 02:48, 24 January 2022
Kai et al. (2017) pdf
- Models predicting student retention in an online college program
- performance was very good for both groups
- JRip decision tree model performed more equitably than a J48 decision tree model for both male and female students.
- JRip model had moderately better performance for female students than male students
Hu and Rangwala (2020) pdf
- Models predicting if student at-risk for failing a course
- performed worse for male students, but that this result is inconsistent across university courses