Table 9 Performance comparison of prediction models using K-fold cross-validation.

From: Prediction of uniaxial compressive strength of limestone from ball mill grinding characteristics using supervised machine learning techniques

Method

Averaged performance metrics

R2

MAE

RMSE

VAF

Score

MLR

0.844

18.6

24.72

84.01

01

k-NNR

0.869

17.59

22.99

86.95

02

SVR

0.876

16.26

19.34

87.74

03

RFR

0.885

14.21

19.8

88.82

04