Table 2 Model evaluation using statistical metrics.

From: Optimizing base fluid composition for PEMFC cooling: A machine learning approach to balance thermal and rheological performance

 

ML

Train MSE

Test MSE

Train R2

Test R2

Train KGE

Test KGE

Thermal conductivity model

LR

0.0001

0.0003

0.9745

0.951

0.9818

0.9727

DT

0

0.0001

1

0.9815

1

0.9646

XGBoost

0

0

0.9999

0.9941

0.9985

0.9613

Viscosity model

LR

1.0571

0.6937

0.8047

0.8561

0.8544

0.828

DT

0

0.2565

1

0.9468

1

0.9245

XGBoost

0.0008

0.0269

0.9999

0.9944

0.9991

0.9903

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