Table 1 Comparative performance metrics of machine learning algorithms for predictive modelling.

From: Artificial intelligence-driven assessment of salt caverns for underground hydrogen storage in Poland

 

Criteria

MAE

MSE

RMSE

MAPE

ML Algorithms

Catboost

0.1994

0.0816

0.2833

0.0163

Lgbm

0.2102

0.0866

0.2920

0.0172

XGboost

0.2152

0.0911

0.2996

0.0176

Gbr

0.2285

0.0995

0.3124

0.0187

Knn

0.2333

0.1088

0.3274

0.0191

Lr

0.2461

0.1159

0.3372

0.0202

Svr

0.2065

0.0905

0.2982

0.0169

MLP

0.2322

0.1032

0.3186

0.0190

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