Fine-Tuned Attribute Weighted Naïve Bayes with Modified Partial Instances Reduction for Gaming Disorder Classification

Fine-Tuned Attribute Weighted Naïve Bayes with Modified Partial Instances Reduction for Gaming Disorder Classification

Fine Tuning Attribute Weighted Naïve Bayes (FTAWNB) is a reliable modified Naïve Bayes model. Even though it is able to provide high accuracy on ordinal data, this model is sensitive to outliers. To improve the performance of FTAWNB, this research modified the Partial Instances Reduction (PIR) techn...

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Bibliographic Details
Main Authors: Anastasya Latubessy, Retantyo Wardoyo, Aina Musdholifah, Sri Kusrohmaniah
Format: Article
Language:English
Published: Ital Publication 2025-03-01
Series:HighTech and Innovation Journal
Subjects:
classification
attribute weighted
fine-tune
naïve bayes
instances reduction
gaming disorder.
Online Access:https://hightechjournal.org/index.php/HIJ/article/view/1114
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https://hightechjournal.org/index.php/HIJ/article/view/1114

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