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Detection of Persistent vs. Non-Persistent Drugs in Pharmacy Using Decision Tree Classification Based on Gini, Entropy, and Log Loss Criteria

This study evaluates the performance of Decision Tree methods in classification, utilizing three different criteria: Entropy, Gini, and Log Loss. The objective is to determine which criterion is most effective in achieving high classification accuracy using prescription data from the UCI repository,...

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Furkejuvvon:
Váldodahkkit: Mardewi Mardewi, Firman Aziz, Syahrul Usman, Rahmat Fuadi Syam
Materiálatiipa: Artigo
Giella:Inglês
Almmustuhtton: Fakultas Ilmu Komputer UMI 2025-08-01
Ráidu:Ilkom Jurnal Ilmiah
Fáttát:
classification
persistent vs. non-persistent
decision tree
entropy criterion
gini criterion
log loss criterion
Liŋkkat:https://jurnal.fikom.umi.ac.id/index.php/ILKOM/article/view/2585
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