Difference between revisions of "Military-Connected Status"
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(Created page with "Baker at al. (2020) https://www.upenn.edu/learninganalytics/ryanbaker/BakerBerningGowda.pdf pdf * Model predicting student graduation and SAT scores for military-connected students * For prediction of graduation, algorithms applying across population resulted an AUC of 0.60, degrading from their original performance of 70% or 71% to chance. * For prediction of SAT scores, algorithms applying across population resulted in a Spearman's ρ of 0.42 and 0.44, degrading a...") |
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Baker | Baker et al. (2020) [https://www.upenn.edu/learninganalytics/ryanbaker/BakerBerningGowda.pdf pdf] | ||
* Model predicting student graduation and SAT scores for military-connected students | * Model predicting student graduation and SAT scores for military-connected students and non-military-connected students | ||
* For prediction of graduation, algorithms | * For prediction of graduation, applying algorithms across population resulted an poorer AUC ROC | ||
* For prediction of SAT scores, algorithms | * For prediction of SAT scores, applying algorithms across population resulted in a poorer Spearman's ρ. | ||
Latest revision as of 08:24, 18 May 2022
Baker et al. (2020) pdf
- Model predicting student graduation and SAT scores for military-connected students and non-military-connected students
- For prediction of graduation, applying algorithms across population resulted an poorer AUC ROC
- For prediction of SAT scores, applying algorithms across population resulted in a poorer Spearman's ρ.