The optimal input-independent baseline for binary classification:The Dutch Draw
Before any binary classification model is taken into practice, it is important to validate its performance on a proper test set. Without a frame of reference given by a baseline method, it is impossible to determine if a score is “good” or “bad.” The goal of this paper is to examine all baseline methods that are independent of feature values and determine which model is the “best” and why. By identifying which baseline models are optimal, a crucial selection decision in the evaluation process is simplified. We prove that the recently proposed Dutch Draw baseline is the best input-independent c... Mehr ...
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Dokumenttyp: | Artikel |
Erscheinungsdatum: | 2023 |
Reihe/Periodikum: | Pries , J , van de Bijl , E , Klein , J , Bhulai , S & van der Mei , R 2023 , ' The optimal input-independent baseline for binary classification : The Dutch Draw ' , Statistica Neerlandica , vol. 77 , no. 4 , pp. 543-554 . https://doi.org/10.1111/stan.12297 |
Schlagwörter: | baseline / benchmark / binary classification / evaluation / supervised learning |
Sprache: | Englisch |
Permalink: | https://search.fid-benelux.de/Record/base-28636068 |
Datenquelle: | BASE; Originalkatalog |
Powered By: | BASE |
Link(s) : | https://research.vu.nl/en/publications/4418e229-cb44-4f1f-b270-006a8f7e1598 |