Table 3 Results of training set and test set.

From: Comparison of machine learning models for rock UCS prediction using measurement while drilling data

Method

Training set

Validation set

Test set

RMSE

R2

MAE

SDR

RMSE

R2

MAE

SDR

RMSE

R2

MAE

SDR

MLP

24.869

0.869

18.372

24.821

28.468

0.878

22.704

28.117

30.946

0.844

23.887

30.741

SVR

19.776

0.917

16.480

19.007

18.157

0.950

14.830

17.762

21.905

0.922

17.962

21.144

CNN

24.583

0.872

18.048

23.655

31.841

0.847

24.320

29.569

32.899

0.832

24.066

29.595

RT

0.301

1.00

0.036

0.301

21.671

0.9291

7.006

20.805

15.851

0.959

4.449

15.292

LSTM

26.488

0.852

19.757

26.250

31.414

0.851

24.776

31.000

34.155

0.810

26.622

33.671