Research Article
Prediction of Urban and Rural Tourism Economic Forecast Based on Machine Learning
Table 2
The predicted value of our proposed method.
| Year | Original value | Predictive value | Error | Relative error | Step ratio deviation |
| 2009 | 53.1 | 53.1 | 0 | 0 | 53.1 | 2010 | 67.3 | 51.177 | 16.123 | 0.23957 | 67.3 | 2011 | 83.81 | 75.115 | 8.695 | 0.10375 | 83.81 | 2012 | 103.39 | 100.532 | 2.858 | 0.02764 | 103.39 | 2013 | 126.55 | 127.521 | −0.971 | −0.0077 | 126.55 | 2014 | 141.56 | 156.179 | −14.619 | −0.1033 | 141.56 | 2015 | 160.01 | 186.609 | −26.599 | −0.1662 | 160.01 | 2016 | 207.33 | 218.919 | −11.589 | −0.0559 | 207.33 | 2017 | 275.22 | 253.288 | 21.932 | 0.07969 | 275.22 | 2018 | 291.9 | 289.658 | 2.242 | 0.00768 | 291.9 | 2019 | 335.56 | 328.34 | 7.22 | 0.02152 | 335.56 |
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