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Table 2 Summary of the results (performance measures) for 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

1-day ahead with weekend data

MAPE (%)

K-SVR

0.93

1.19

0.49

1.81

1.11

K-SVR(3)

0.76

1.49

0.73

2.40

1.35

ARIMA

3.45

2.64

2.86

4.22

3.29

MAE (bed/day)

K-SVR

3.25

4.01

1.76

6.24

3.81

K-SVR(3)

2.69

5.03

2.65

8.30

4.67

ARIMA

11.89

8.92

10.19

14.47

11.37

RMSE (bed/day)

K-SVR

3.46

5.45

1.90

6.64

4.36

K-SVR(3)

3.15

6.31

3.32

9.08

5.98

ARIMA

13.68

9.87

10.55

15.27

12.34

Error variance

K-SVR

1.00E−05

1.20E−04

0.00E+00

4.00E−05

5.00E−05

K-SVR(3)

2.12E−05

1.27E−04

2.86E−05

1.14E−04

7.27E−05

ARIMA

5.16E−04

2.05E−04

6.67E−05

2.68E−05

2.04E−04

1-day ahead with weekend data

MAPE (%)

K-SVR

2.55

1.02

0.88

2.65

1.78

K-SVR(3)

1.85

0.92

0.65

3.39

1.70

ARIMA

3.42

2.05

2.96

4.00

3.11

MAE (bed/day)

K-SVR

8.91

3.45

3.13

9.11

6.15

K-SVR(3)

6.33

3.19

2.30

11.65

5.87

ARIMA

11.69

7.08

10.41

13.75

10.73

RMSE (bed/day)

K-SVR

11.74

4.33

3.93

9.65

7.41

K-SVR(3)

8.11

3.61

3.01

12.05

7.63

ARIMA

14.56

10.06

12.40

15.22

13.06

Error variance

K-SVR

4.60E−04

1.00E−05

4.00E−05

9.00E−05

1.50E−04

K-SVR(3)

2.34E−04

2.91E−05

3.12E−05

9.25E−05

9.67E−05

ARIMA

8.35E−04

5.07E−04

4.78E−04

4.58E−04

5.69E−04