Research Article
Improving ELM-Based Service Quality Prediction by Concise Feature Extraction
Table 5
Accuracy comparison on Leukemia dataset.
| Algorithm | # Attributes | Training time | Testing time | Accuracy | -test |
| F-ELM | 6 | 2.05 | 0.46 | 88.24% | N/A | ELM | 12 | 3.26 | 0.93 | 85.29% | 7.033 | SVM | 6 | 2.71 | 0.81 | 82.35% | 7.194 | SVM | 12 | 3.42 | 1.05 | 82.35% | 7.194 | CART | 6 | 4.37 | 0.94 | 76.47 % | 7.780 | CART | 12 | 4.94 | 1.24 | 73.53% | 7.989 | J48 | 6 | 4.71 | 1.33 | 67.65% | 8.493 | J48 | 12 | 5.54 | 1.66 | 61.76% | 8.771 | Treenet | 6 | 3.65 | 1.22 | 76.47% | 7.780 | Treenet | 12 | 4.23 | 1.57 | 73.53% | 7.876 | BPNN | 6 | 3.13 | 1.29 | 64.71% | 8.643 | BPNN | 12 | 3.56 | 1.63 | 61.76% | 9.116 |
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