基于极大相容块的邻域粗糙集模型
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程永林,李德玉,王素格
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Neighborhood rough set model based on maximal consistent blocks
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Yonglin Cheng,Deyu Li,Suge Wang
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表5 最优属性子集在SVM下的分类精度
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Table 5 The classification accuracy with SVM
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Data | RAW | NRS | VP?NRS | MAX?NRS | NMCBRS |
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Wine | 93.68±4.84 | 97.36±3.72 | 95.26±3.88 | 95.20±6.31 | 97.89±2.42 | Wdbc | 94.62±4.53 | 95.15±1.77 | 95.15±2.26 | 94.63±2.09 | 95.43±2.08 | Glass | 77.55±8.57 | 78.41±6.01 | 80.33±5.08 | 77.82±6.49 | 80.92±6.57 | Wpbc | 76.00±12.28 | 75.94±9.80 | 75.94±9.84 | 75.94±9.84 | 76.42±7.59 | Ionos | 84.98±12.34 | 87.45±5.00 | 87.45±5.46 | 87.72±5.48 | 87.57±4.67 | Snoar | 71.32+10.98 | 72.82±10.08 | 73.68±9.78 | 70.62±12.77 | 75.96±10.20 | Cancer | 96.34±3.77 | 96.50±2.42 | 85.69±4.63 | 95.93±1.83 | 96.71±2.40 | Average | 84.92±8.18 | 86.23±5.54 | 84.78±5.84 | 85.40±6.40 | 86.61+5.45 |
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