Rainfall Prediction In North Maharashtra Region Using Support Vector Machine
Main Article Content
Abstract
In this paper a model using Support Vector Machine (SVM) for prediction of rainfall in the three districts of North Maharashtra Region has been proposed. Sixteen input metrological parameters such as temperature, wind speed, wind direction, humidity, visibility etc. were collected from 2009 to 2018 and one output parameter precipitation is used in this study. The model is validated using accuracy, precision, and recall. The results showed that SVM is capable to predict accurate results with 82% accuracy. The SVM model was found to be robust and efficient prediction model considering the varied geographical conditions of these three districts.
Downloads
Metrics
Article Details
Licensing
TURCOMAT publishes articles under the Creative Commons Attribution 4.0 International License (CC BY 4.0). This licensing allows for any use of the work, provided the original author(s) and source are credited, thereby facilitating the free exchange and use of research for the advancement of knowledge.
Detailed Licensing Terms
Attribution (BY): Users must give appropriate credit, provide a link to the license, and indicate if changes were made. Users may do so in any reasonable manner, but not in any way that suggests the licensor endorses them or their use.
No Additional Restrictions: Users may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.