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Table 6 The RMSE of training algorithms for the dataset with selected features

From: Comparing artificial neural network training algorithms to predict length of stay in hospitalized patients with COVID-19

Training algorithm

The number of neurons

5

10

15

20

25

30

LM

2.3617

2.4407

2.3937

2.3346

2.3564

2.4074

BR

2.3386

2.2332

2.3493

2.2995

2.2965

2.2962

BFGS Quasi-Newton

2.3756

2.3388

2.3847

2.3284

2.8562

2.757

RP

2.3998

2.3869

2.4774

2.7853

3.296

2.7826

SGC

2.5182

2.4187

2.3952

2.9402

2.3695

2.4256

CGB

2.3895

2.372

2.3759

2.3617

2.3459

2.3962

CGF

2.3851

2.4322

2.4218

2.4023

2.3655

2.4033

CGF

2.4646

2.4124

2.4607

2.3935

2.4053

2.4818

OSS

2.3997

2.3854

2.4639

2.4297

2.5942

2.353

CHF

2.4135

2.4264

2.5287

2.9861

3.3325

3.6619

GDM

13.7549

17.353

46.4296

33.9491

27.4377

54.9474

GD

9.1643

18.8733

50.1962

53.7368

25.1357

61.4867

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