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- W4386985305 abstract "Climate change has made accurate rainfall forecasting more difficult than ever. In this paper, the decision tree algorithm and Random Forest is used to predict the rainfall accuracy based on historical climate data. The classification and regression tree (CART) approach is employed to this result, producing a better accuracy rate. The algorithm can determine the probabilities of rain on any given day, making it an ideal choice for various applications involving large datasets." @default.
- W4386985305 created "2023-09-24" @default.
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- W4386985305 date "2023-01-01" @default.
- W4386985305 modified "2023-10-01" @default.
- W4386985305 title "Accuracy Prediction of Rainfall Using Decision Tree Algorithm and Random Forest" @default.
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- W4386985305 doi "https://doi.org/10.1007/978-3-031-37164-6_25" @default.
- W4386985305 hasPublicationYear "2023" @default.
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