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AI-Driven KNN Model for Earthquake Forecasting by medhasreekuppani5 is a document available to read on EtoBox.
This study employs a KNN algorithm to analyze global seismic data from 2020 to 2024 for predicting future earthquake occurrences, generating forecasts for 1 month, 6 months, and 1 year. The model demonstrates high accuracy with an MSE of 0.198 and an accuracy percentage of 94.57%, indicating its effectiveness in earthquake prediction. However, the study suggests that integrating deep learning methods and real-time data could further enhance prediction accuracy and reliability.
- Author
- medhasreekuppani5
- Language
- EN