Abstract
Predicting rainfall remains a challenging job in weather forecasting until now. The primary focus of weather forecasting is the prediction of the weather at a specific future period. The objective of this research is to predict the anomaly in multivariate weather prediction dataset. To predict the future weather condition, the variation in the conditions in past years must be utilized. The proposed model uses supervised anomaly detection techniques for weather forecasting system and then compares the results from each technique
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