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Found 1 from your keywords: author=Febriani, Nabilla Suci
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ANALISIS KOMPARATIF MACHINE LEARNING DAN EXPLAINABLE ARTIFICIAL INTELLIGENCE …
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Febriani, Nabilla Suci

Traffic accidents are a road safety issue that can result in fatalities. This study aims to compare the performance of machine learning models namely, Random Forest, XGBoost and LightGBM and to explain the prediction results of the best model using the Explainable Artificial Intelligence (XAI) approach, with SHapley Additive exPlanations (SHAP) employed as the interpretation method. The data us…

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xiv, 98 hlm.; ilus.; tab.; 29 cm.
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T2005642026
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