Table 3 Comparison of metrics of algorithms with 35% dataset used.

From: Scalable earthquake magnitude prediction using spatio-temporal data and model versioning

Algorithm

MAE

MSE

RMSE

R2

Light BGM

0.403451

0.296318

0.544351

0.536717

XG Boost

0.431985

0.320023

0.565706

0.499655

Gradient Boosting

0.397049

0.290913

0.539364

0.545167

Random Forest

0.419396

0.316672

0.562736

0.504895

Linear Regression

0.538720

0.500512

0.707469

0.217467

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