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INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016 open access , Peer-reviewed, and Refereed Journals, Impact factor 8.15 |
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| Paper Title: | Rainfall Prediction Using SVM and XGBoost Algorithms |
| Authors Name: | Vijayasharmila S , Praveen Kumar K , Ranjith Kumar R , Surya Prakash O S |
| Unique Id: | IJSDR2304125 |
| Published In: | Volume 8 Issue 4, April-2023 |
| Abstract: | Accurate rainfall prediction has become very complicated in recent times due to climate change and variability. Rainfall prediction is one of the challenging tasks in weather forecasting. Accurate and timely rainfall prediction can be very helpful to take effective security measures in advance regarding on-going construction projects, transportation activities, agricultural tasks, flight operations and flood situation, etc. Data mining techniques can effectively predict the rainfall by extracting the hidden patterns among available features of past weather data. This research contributes by providing a critical analysis and review of latest data mining techniques, used for rainfall prediction. In our proposed system we propose an efficiency of classification algorithms in rainfall prediction has flourished. The study contributes to using various classification algorithms for rainfall prediction in the different ecological zones of Ghana. The classification algorithms include Support Vector Machine (SVM) and XGBoost (XGB). The classification result based on accuracy, precision, recall, f1-score, sensitivity, and specificity. Rain fall prediction Data Mining field concentrate on Prediction more often as compared to generate exact results for future purpose. |
| Keywords: | Rainfall prediction, Classification algorithms, Support Vector Machine, XGBoost, Data mining. |
| Cite Article: | "Rainfall Prediction Using SVM and XGBoost Algorithms", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.8, Issue 4, page no.711 - 715, April-2023, Available :http://www.ijsdr.org/papers/IJSDR2304125.pdf |
| Downloads: | 000337209 |
| Publication Details: | Published Paper ID: IJSDR2304125 Registration ID:205044 Published In: Volume 8 Issue 4, April-2023 DOI (Digital Object Identifier): Page No: 711 - 715 Publisher: IJSDR | www.ijsdr.org ISSN Number: 2455-2631 |
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