EARTHQUAKE MAGNITUDE PREDICTION – A MACHINE LEARNING PERSPECTIVE

This study explores the efficacy of various machine learning algorithms for earthquake detection, with a focus on achieving accurate predictions, and highlights the potential of the random forest regressor as a robust tool in this domain.