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What is Naïve Bayes Flood Classification Analysis about?

This document analyzes the classification of flood disasters based on rainfall using the Naive Bayes algorithm. It uses rainfall data and flood/no flood labels from the state of Kerala in India from 1901 to 2018 to test the algorithm. The Naive Bayes algorithm achieved 79.16% accuracy when tested using Scikit-Learn and surprisingly achieved 98.31% accuracy when tested using RapidMiner, showing it is a suitable algorithm for classifying floods based on rainfall amounts.

Author

Deli 798

Language

EN