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                                       Details for article 53 of 68 found articles
 
 
  Quantifying variability in predictions of student performance: Examining the impact of bootstrap resampling in data pipelines
 
 
Title: Quantifying variability in predictions of student performance: Examining the impact of bootstrap resampling in data pipelines
Author: Bertolini, Roberto
Finch, Stephen J.
Nehm, Ross H.
Appeared in: Computers and education. Artificial intelligence
Paging: Volume 3 () nr. C pages p.
Year: 2022
Contents:
Publisher: The Authors
Source file: Elektronische Wetenschappelijke Tijdschriften
 
 

                             Details for article 53 of 68 found articles
 
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