When Offline Selectors Cannot Beat the Best Single Model: A Diagnostic Study on edX Dropout Prediction

Tyler Crosse, Alan Nadelsticher Ruvalcaba, Dustin Khang LeDuc +3

Different predictors often excel on different inputs, so picking the best one per instance promises higher accuracy than committing to a single model. In practice, selectors traine…