Dynamic impact-based heavy rainfall warning with multi-classification machine learning approaches

HIGHLIGHTS

• What: This research provided a comparative analysis of several multiclassification methods, including Decision Tree (DT), Naive Bayes, Support Vector Machine (SVM), and K-Nearest Neighbour (KNN), in the context of dynamic impact-based forecasting utilizing machine_learning techniques. This paper presents an analysis of the impacts resulting from rainfall and associated systems, utilizing the most up-todate historical data sets of impacts specifically about the districts of north Bihar. The details of the performance metrics used in this research article are presented in Table 3. This study investigates the possible use of big data technologies in the evaluation . . .
  

   

  

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