• Chaya P
• Kavya I
• Likhitha S
• M Tanushri
• Roshni Poovanna C

Heavy rainfall prediction is a major problem for meteorological department as it is closely associated with the economy and life of human. The proposed framework uses machine learning technique which helps us to predict the rainfall in an efficient way by using the naïve bayes technique for decision making. Proposed system is an rainfall application which analyses the previous data related to temperature, region, area, year and various parameters can be considered for predicting the rainfall. The system is useful for the society as it is a real time application for rainfall prediction this helps the farmers to make right decision in right time, it helps farmers to get high profits.

Machine Learning, Supervised Learning Technique, Prediction, Rainfall

"METACOGNITION OF RAINFALL PREDICTION USING NAÏVE BAYES TECHNIQUE IN MACHINE LEARNING", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.7, Issue 6, page no.1015-1018, June-2020, Available :http://www.jetir.org/papers/JETIR2006479.pdf

"METACOGNITION OF RAINFALL PREDICTION USING NAÏVE BAYES TECHNIQUE IN MACHINE LEARNING", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.7, Issue 6, page no. pp1015-1018, June-2020, Available at : http://www.jetir.org/papers/JETIR2006479.pdf