Research Article
Ensemble-Based Neighborhood Attribute Reduction: A Multigranularity View
Table 9
Comparisons of the distributions with using SVM.
| ID | APP MGAPP | ENT MGENT | DIS MGDIS | ERR MGERR |
| 1 | 0.1029 | 0.0088 | 1.0000 | 0.9999 | 2 | 0.9989 | 0.9997 | 2.9621E − 06 | 0.7499 | 3 | 1.0000 | 0.9739 | 0.9852 | 1.0000 | 4 | 0.8988 | 0.5226 | 0.0584 | 0.9697 | 5 | 1.0000 | 1.0000 | 1.0000 | 1.0000 | 6 | 0.9967 | 0.0783 | 1.9014E − 07 | 0.8709 | 7 | 2.8827E − 36 | 2.0328E − 08 | 1.0000 | 1.1929E − 09 | 8 | 0.1236 | 0.9765 | 0.3849 | 0.0043 | 9 | 0.2643 | 0.9999 | 1.0000 | 0.9949 | 10 | 0.1887 | 0.1506 | 3.2225E − 13 | 0.5573 | 11 | 0.9561 | 0.8719 | 1.0000 | 1.0000 | 12 | 0.9997 | 0.9996 | 0.9999 | 0.9852 | 13 | 0.2446 | 0.0261 | 0.2749 | 0.0392 | 14 | 0.9918 | 0.8474 | 1.0000 | 0.7630 | 15 | 7.8457E − 20 | 0.2767 | 0.0059 | 1.0000 | Avg | 0.5844 | 0.5821 | 0.5806 | 0.7290 |
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The values less than 0.05 are in italics.
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