Table 4 Comparison of metrics of algorithms with 20% dataset used.

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

Algorithm

MAE

MSE

RMSE

R2

Light GBM

0.445097

0.349663

0.591323

0.408796

XG Boost

0.451523

0.364773

0.603965

0.383247

Gradient Boosting

0.432309

0.322688

0.568056

0.454405

Random Forest

0.450913

0.363844

0.603195

0.384819

Linear Regression

0.538563

0.450621

0.671283

0.238097

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