Research Article
Application of Data Denoising and Classification Algorithm Based on RPCA and Multigroup Random Walk Random Forest in Engineering
Table 4
Comparison of the overall recognition rates of several classification algorithms when
is 0.5.
| Classification algorithm | = 0 | = 0.1% | = 1% | = 2% | = 5% | = 10% | = 20% | = 30% | Rate (%) | Rate (%) | Rate (%) | Rate (%) | Rate (%) | Rate (%) | Rate (%) | Rate (%) |
| RPCA-MRWRF | 100 | 98 | 93.33 | 94 | 93.33 | 94.67 | 94.67 | 94.67 | RF | 100 | 96 | 86 | 86.67 | 84 | 83.33 | 85.33 | 81.33 | MW-MPSO | 100 | 97.67 | 96 | 93.33 | 91.67 | 89.3 | 88 | 90 | KPCA-SVM | 100 | 93 | 83.33 | 76 | 67.33 | 60.67 | 58 | 56.7 | WPT-FCDNN | 100 | 95.33 | 92.7 | 89.33 | 87 | 86.7 | 87.33 | 84.67 | PCA-LDA-NN | 100 | 93 | 90.7 | 87.33 | 85.33 | 78.7 | 78 | 74.67 |
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