Difference between revisions of "Gender: Male/Female"
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(Created page with "Kai et al. (2017) [https://www.upenn.edu/learninganalytics/ryanbaker/DLRN-eVersity.pdf 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") |
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* Models predicting student retention in an online college program | * Models predicting student retention in an online college program | ||
* performance was very good for both groups | * performance was very good for both groups | ||
* JRip decision tree model performed more equitably than a J48 | * JRip decision tree model performed more equitably than a J48 decision tree model for both male and female students. | ||
decision tree model for both male and female students. | |||
* JRip model had moderately better performance for female | * JRip model had moderately better performance for female | ||
students than male students | students than male students | ||
Revision as of 01:45, 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