Table 8 The effect of the number of epochs on the accuracy of the GRU 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

0.951414

0.978884

0.95693

13.046012

6.153722

11.66166

3.567884

2.472335

3.414917

200

Training

Validation

All Data

0.975383

0.992205

0.978761

6.973986

2.355148

6.046270

2.532466

1.531496

2.458916

300

Training

Validation

All Data

0.983469

0.993254

0.985434

4.352224

2.056572

3.891131

2.066194

1.42692

1.972594

400

Training

Validation

All Data

0.985876

0.990934

0.986891

4.039332

2.809891

3.792392

1.959915

1.65303

1.947406

  1. Values in bold indicate the optimal model performance.
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