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Human behavior significantly contributes to severe road injuries, underscoring a critical road safety challenge. This study addresses the complex task of predicting dangerous driving behaviors through a comprehensive analysis of over 356,000 trips, enhancing existing knowledge in the field and promoting sustainability and road safety. The research...
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... based on the literature on data imbalance problems [28], there is a high risk that accuracy can lead to misleading conclusions ("accuracy paradox"). Based on the above, according to Table 2 and Figure 6, additional evaluation metrics such as precision, recall, false alarm rate, and f-1 score are considered Notably, the five models achieved reasonable accuracy and recall compared to the precision metric. Based on the provided FNR scores, the models generally achieved satisfactory results in terms of capturing instances of dangerous driving behavior. ...Context 2
... Table 2 and Figure 6, additional evaluation metrics such as precision, recall, false alarm rate, and f-1 score are considered Table 2. Classification metrics for the developed classifiers for harsh acceleration events per 100 km. Notably, the five models achieved reasonable accuracy and recall compared to the precision metric. ...