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Evaluation of classification and decision trees in predicting daily precipitation occurrences
Due to the heterogeneous distribution of precipitation, predicting its occurrence is one of the primary and basic strategies to prevent possible disasters and their damages. Hence, this study aims at evaluating the capabilities of Logistic Model Tree (LMT), J48, Random Forest (RF), and PART classifi...
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| Главные авторы: | , , |
|---|---|
| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
IWA Publishing
2022-04-01
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| Серии: | Water Supply |
| Предметы: | |
| Online-ссылка: | http://ws.iwaponline.com/content/22/4/3879 |
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