Detailed breakdown of performance comparison of CARRoT output and the other models.

<p>Performance in terms of absolute/relative error, accuracy/AUROC and accuracy only (for continuous, binary and multinomial outcomes respectively) of different prediction methods on 100 datasets available in R using the default 90%/10% training/validation split. The methods used are <i>...

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التفاصيل البيبلوغرافية
المؤلف الرئيسي:	Alina Bazarova (17138191) (author)
مؤلفون آخرون:	Marko Raseta (7384304) (author)
منشور في:	2023
الموضوعات:	Genetics Biological Sciences not elsewhere classified Mathematical Sciences not elsewhere classified Information Systems not elsewhere classified performs exhaustive search initial exploratory analysis heuristic ‘ rules forcing specific terms uses multiple hold statistically significant predictors div >< p account multiple factors best predictive power regression model yielding predictive power predictive modelling way interactions underlying algorithm thumb ’ squared statistics relative error regularization parameters provide comparison model selection lasso regression internally validate expert knowledge en ). datasets available continuous outcomes computational time categorical outcomes auroc values
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Detailed breakdown of performance comparison of CARRoT output and the other models.

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