Research Article
[Retracted] A K-Means Clustering Algorithm for Early Warning of Financial Risks in Agricultural Industry
Table 2
Test accuracy of each model under ratio removal characteristics.
| Model | 0% test accuracy | 25% test accuracy | 50% test accuracy | 75% test accuracy | Range of accuracy change |
| Literature [18] | 70.12 | 72.15 | 73.4 | 73.2 | 3.96 | Literature [16] | 78.66 | 79.08 | 78.37 | 76.91 | 2.85 | Literature [19] | 81.66 | 83.64 | 83.12 | 79.85 | 4.47 | Literature [20] | 80.63 | 78.04 | 72.74 | 71.72 | 9.59 | Literature [17] | 84.79 | 86.87 | 85.95 | 82.94 | 2.76 | Proposed | 86.59 | 87.96 | 83.99 | 80.95 | 7.69 |
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