Table 10 The effect of the number of epochs on the accuracy of the CNN model.

From: Performance investigation of Xanthan gum polymer flooding for enhanced oil recovery using machine learning models

EPOCH number

Data type

\(\:{\varvec{R}}^{2}\)

MSE

RMSE

100

Training

Validation

All Data

0.951348

0.906725

0.942385

11.099169

11.174438

11.11428

3.058836

3.046826

3.333808

200

Training

Validation

All Data

0.976599

0.970094

0.97529

4.864298

4.37452

4.76592

2.08675

2.025963

2.183098

300

Training

Validation

All Data

0.95814

0.988493

0.964236

8.411146

2.108045

7.14513

2.65889

1.423627

2.673037

400

Training

Validation

All Data

0.946562

0.976171

0.95250

10.753526

3.837948

9.3644996

2.902396

1.749584

3.0601469

  1. Values in bold indicate the optimal model performance.
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