基于极大相容块的邻域粗糙集模型
程永林,李德玉,王素格

Neighborhood rough set model based on maximal consistent blocks
Yonglin Cheng,Deyu Li,Suge Wang
表5 最优属性子集在SVM下的分类精度
Table 5 The classification accuracy with SVM
DataRAWNRSVP?NRSMAX?NRSNMCBRS
Wine93.68±4.8497.36±3.7295.26±3.8895.20±6.3197.89±2.42
Wdbc94.62±4.5395.15±1.7795.15±2.2694.63±2.0995.43±2.08
Glass77.55±8.5778.41±6.0180.33±5.0877.82±6.4980.92±6.57
Wpbc76.00±12.2875.94±9.8075.94±9.8475.94±9.8476.42±7.59
Ionos84.98±12.3487.45±5.0087.45±5.4687.72±5.4887.57±4.67
Snoar71.32+10.9872.82±10.0873.68±9.7870.62±12.7775.96±10.20
Cancer96.34±3.7796.50±2.4285.69±4.6395.93±1.8396.71±2.40
Average84.92±8.1886.23±5.5484.78±5.8485.40±6.4086.61+5.45