Table 5 The effect of the number of epochs on the accuracy of the MLP 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

20

Training

Validation

All Data

0.890847

0.951898

0.90310

23.588282

13.45727

21.55342

4.633269

3.620462

4.642566

100

Training

Validation

All Data

0.962447

0.985969

0.967171

9.371948

3.967907

8.286520

2.813169

1.971177

2.878631

200

Training

Validation

All Data

0.98113

0.993067

0.983527

3.943535

1.839153

3.5208599

1.844339

1.298763

1.73475

250

Training

Validation

All Data

0.985691

0.985352

0.985622

3.696124

3.85349

3.72773

1.704355

1.747475

1.930733

  1. Values in bold indicate the optimal model performance.