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6 最优属性子集在KNN(k=3)下的分类精度
Table 6 The classification accuracy with KNN(k=3)
DataRAWNRSVP?NRSMAX?NRSNMCBRS
Wine94.21±6.7797.60±4.4794.73±6.0897.89±2.7297.44±3.65
Wdbc97.23±1.8196.02±2.0096.71±2.7696.01±2.1895.26±2.40
Glass89.61±5.1790.67±2.6887.87±7.8793.11±6.4993.71±6.45
Wpbc70.14±8.7976.44±11.8076.89±8.5875.42±11.9181.82±7.93
Ionos83.52±9.5386.01±6.2685.01±4.4985.18±5.1989.18±3.97
Snoar80.23±9.6581.40±9.1880.14±8.4381.32±6.7181.51±9.06
Cancer96.62±3.9496.38±6.3889.00±4.7595.78±1.5196.68±2.02
Average87.36±6.5289.21±6.1187.19±6.1389.24±5.2490.85±5.21