Research Article
Identification of Enterprise Financial Risk Based on Clustering Algorithm
Table 3
The screening effect of K-means clustering on financial risk.
| years | High-risk cluster proportion (%) | Number of high-risk companies (homes) | Y + 0 year recall rate (%) | Y + 1 year accuracy rate (%) | Y + 2 year accuracy rate (%) | Y + 3 year accuracy rate (%) | Y + 4 year precision rate (%) |
| 2008 | 8 | 1 18 | 36.0 | 10.2 | 17.0 | 20.3 | 20.3 | 2009 | 2.4 | 38 | 17.2 | 23. I | 23 | 23 | 23、 | 2010 | 6.2 | 105 | 20.5 | 10.5 | 14.3 | 15.2 | 16.2 | 2011 | 6.0 | 123 | 31.3 | 7.2 | 8.9 | 11.4 | 16.3 | 2012 | 5.5 | 126 | 19.2 | 6.4 | 7.9 | 9.5 | 12.0 | 2013 | 6.5 | 157 | 22.7 | 8.3 | 10.8 | 13.4 | 16.6 | 2014 | 21.0 | 515 | 55.6 | 6.6 | 9.7 | 12.4 | 16 | 2015 | 16.4 | 784 | 20.5 | 4.3 | 7.1 | 10.0 | 12.6 | Mean value | 9.0 | 246 | 27.9 | 9.6 | 12.4 | 14.4 | 16.6 |
|
|