Difference between revisions of "Latino/Latina/Latinx/Hispanic Learners in North America"

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Anderson et al. (2019) [https://www.upenn.edu/learninganalytics/ryanbaker/EDM2019_paper56.pdf pdf]
Anderson et al. (2019) [https://www.upenn.edu/learninganalytics/ryanbaker/EDM2019_paper56.pdf pdf]
* Models predicting six-year college graduation
* Models predicting six-year college graduation
* Algorithms showed higher false negative rates for Latino students while showing higher false positive rates for White students.
* False negatives rates were greater for Latino students when Decision Tree and Random Forest yielded was used
* White students had higher false positive rates across all models, Decision Tree, SVM, Logistic Regression, Random Forest, and SGD

Revision as of 17:45, 22 March 2022

Anderson et al. (2019) pdf

  • Models predicting six-year college graduation
  • False negatives rates were greater for Latino students when Decision Tree and Random Forest yielded was used
  • White students had higher false positive rates across all models, Decision Tree, SVM, Logistic Regression, Random Forest, and SGD