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Found 1 from your keywords: author=Isbatudinia, Isbatudini...
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ANALISIS PERBANDINGAN ALGORITMA MACHINE LEARNING UNTUK KLASIFIKASI TINGKAT KE…
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Isbatudinia, Isbatudinia

Traffic accidents are a serious public safety issue that requires data-driven analytical approaches. This study aims to classify traffic accident severity into three classes, namely fatal, serious, and slight, using machine learning algorithms. Four algorithms are evaluated: Random Forest, Light Gradient Boosting Machine (LightGBM), Support Vector Machine (SVM), and K-Nearest Neighbors (KNN). M…

Edition
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ISBN/ISSN
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Collation
xv, 73 hlm.; ilus.; tab.; 29 cm.
Series Title
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Call Number
T1931602026