Table 5.
Comparison between actual and predicted monthly morbidity in 2014.
| Month | Actual value | Predicted value | 95% confidence limit | Error absolute value | Absolute percentage error |
|---|---|---|---|---|---|
| Jan | 0.97 | 0.99 | 0.53–1.46 | 0.02 | 0.02 |
| Feb | 0.97 | 1.10 | 0.55–1.65 | 0.13 | 0.13 |
| Mar | 1.48 | 1.33 | 0.74–1.92 | 0.15 | 0.10 |
| Apr | 2.06 | 1.62 | 1.00–2.23 | 0.44 | 0.21 |
| May | 2.09 | 2.12 | 1.50–2.75 | 0.03 | 0.01 |
| Jun | 2.19 | 1.45 | 0.82–2.09 | 0.74 | 0.34 |
| July | 1.97 | 1.41 | 0.76–2.05 | 0.56 | 0.28 |
| Aug | 1.58 | 1.02 | 0.36–1.67 | 0.56 | 0.35 |
| Sep | 1.03 | 0.90 | 0.23–1.56 | 0.13 | 0.13 |
| Oct | 0.55 | 0.88 | 0.20–1.55 | 0.33 | 0.60 |
| Nov | 0.74 | 0.82 | 0.14–1.50 | 0.08 | 0.11 |
| Dec | 0.90 | 0.99 | 0.31–1.69 | 0.09 | 0.10 |
Note. The error absolute value is the D value between actual value and predicted value. The absolute percentage error is the ratio of error absolute value and actual value. MAPE is the mean value of absolute percentage error, and the value is 19.83%.