Table 6 MSE and R2 value by linear regression, XG boost model and random forest model for Ni-G-MA after data augmentation.

From: Machine learning-driven stability analysis of eco-friendly superhydrophobic graphene-based coatings on copper substrate

Model

MSE (testing)

R2 (testing)

MSE (training)

R2 (training)

Linear regression

0.1582

0.9933

0.3768

0.9769

Random forest

1.3125

0.9444

0.2346

0.9856

XG boost

1.4085

0.9403

0.000779

0.9999

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