Research Article
Forecasting Civil Aviation Incident Rate in China Using a Combined Prediction Model
Table 2
The prediction and fitting data of the power function regression model.
| Years | Actual data | Forecast data | Error | Accuracy |
| 2008 | 0.303 | 0.342 | −0.039 | 87.13% | 2009 | 0.324 | 0.357 | −0.033 | 89.81% | 2010 | 0.384 | 0.373 | 0.011 | 97.14% | 2011 | 0.411 | 0.389 | 0.022 | 94.65% | 2012 | 0.477 | 0.406 | 0.071 | 85.12% | 2013 | 0.437 | 0.424 | 0.013 | 97.03% | 2014 | 0.424 | 0.443 | −0.019 | 95.52% | 2015 | 0.463 | 0.462 | 0.001 | 99.78% | 2016 | 0.547 | 0.483 | 0.064 | 88.30% | 2017 | 0.554 | 0.504 | 0.05 | 90.97% | 2018 | 0.492 | 0.526 | −0.034 | 93.09% | 2019 | 0.463 | 0.549 | −0.086 | 81.43% |
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