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Table 3 Summary of the results (performance measures) for the 2-day ahead K-SVR model for 4 random test weeks

From: Machine learning based forecast for the prediction of inpatient bed demand

Metric

Model

Week 1

Week 2

Week 3

Week 4

Average

2-day ahead with weekend data

MAPE (%)

K-SVR

1.41

1.07

0.58

2.62

1.42

K-SVR(3)

1.83

1.40

0.83

2.62

1.67

ARIMA

3.87

2.62

8.25

3.13

4.47

MAE (bed/day)

K-SVR

4.87

3.61

2.08

9.01

4.89

K-SVR(3)

6.33

4.75

2.94

8.98

5.75

ARIMA

14.15

9.61

26.42

10.84

15.26

RMSE (bed/day)

K-SVR

6.88

4.51

2.36

9.32

5.77

K-SVR(3)

7.74

5.06

3.39

9.92

6.99

ARIMA

16.98

10.49

29.04

13.26

17.44

Error variance

K-SVR

2.10E−04

6.00E−05

0.00E+00

5.00E−05

8.00E−05

K-SVR(3)

2.63E−04

6.13E−05

4.56E−05

2.76E−04

1.61E−04

ARIMA

7.51E−04

1.56E−04

2.12E−03

5.91E−04

9.04E−04

2-day ahead without weekend data

MAPE (%)

K-SVR

3.18

4.10

2.75

3.33

3.34

K-SVR(3)

6.21

4.32

6.17

5.98

5.67

ARIMA

3.97

3.16

9.75

3.80

5.17

MAE (bed/day)

K-SVR

11.08

13.91

9.89

11.46

11.59

K-SVR(3)

21.72

14.74

21.65

20.56

19.67

ARIMA

14.41

11.32

30.98

12.97

17.42

RMSE (bed/day)

K-SVR

12.39

17.84

12.79

13.38

14.10

K-SVR(3)

29.48

17.69

25.68

25.51

24.96

ARIMA

16.73

12.43

38.59

14.52

20.57

Error variance

K-SVR

2.60E−04

1.12E−03

5.10E−04

4.00E−04

5.70E−04

K-SVR(3)

3.02E−03

9.51E−04

1.43E−03

1.79E−03

1.80E−03

ARIMA

6.41E−04

2.82E−04

7.28E−03

4.88E−04

2.17E−03