Research Article

Kernel Neighborhood Rough Sets Model and Its Application

Table 7

Classification accuracies based on RBF SVM (%).

DataKNRSKRSNRSNE

Wine97.78 ± 3.88 ()97.7 ± 3.8897.22 ± 3.9394.93 ± 4.12
wdbc96.85 ± 2.7096.84 ± 1.8197.20 ± 1.69 ()96.66 ± 1.75
Glass67.86 ± 11.70 ()067.8 ± 11.7064.08 ± 11.22
Heart82.22 ± 7.9681.11 ± 8.9877.78 ± 10.3384.07 ± 7.82 ()
Anneal94.77 ± 2.2296.33 ± 1.1898.66 ± 0.71 ()94.77 ± 2.22
Average87.89674.39687.73286.902