Table 10 MSE and R2 value by linear regression, XG boost model and random forest model for Ni-G-MA.

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

Model

MSE

R2

Linear regression

0.1161243

0.993144

Random Forest

0.1561192

0.990783

XG Boost

0.000988

0.999

Polynomial Regression (Order 2)

0.1158841

0.993158

Polynomial Regression (Order 3)

0.06209175

0.996334

Polynomial Regression (Order 4)

0.06201943

0.996338