Table 3 Performance metrics of ML models for compressive strength prediction.

From: Mechanical and durability performance prediction of geopolymer incorporating ferrosilicon slag and aluminum powder using machine learning techniques

Model

R2

RMSE (MPa)

MAE (MPa)

ANN

0.993

0.72

0.55

RF

0.988

0.95

0.72

SVR

0.976

1.43

1.05