Research Article

A Model of High-Dimensional Feature Reduction Based on Variable Precision Rough Set and Genetic Algorithm in Medical Image

Table 11

The statistical results of the second group for experiment 2 with the SVM classifier.

Experiment timesAccuracy (%)Sensitivity (%)Specificity (%)Time (s)

Reduction 1193.0086.5099.5022.8007
295.7597.0094.5023.7646
397.0096.0098.0023.3250
497.5098.5096.5024.4491
599.25100.0098.5024.4816
Average value96.5095.6097.4023.7642
Reduction 2193.7588.0099.5025.2403
296.2597.5095.0026.5289
398.0097.0099.0026.5523
498.0099.0097.0026.8212
599.50100.0099.0027.5880
Average value97.1096.3097.9026.5461
Reduction 3192.7587.5098.0018.0780
296.7597.5096.0019.2992
397.0096.0098.0018.7243
497.7599.5096.0020.8482
598.75100.0097.5020.3507
Average value96.6096.1097.1019.4601
Reduction 4192.0086.5097.5025.7260
297.0097.5096.5027.3024
397.7596.5099.0027.2316
497.5099.0096.0028.1554
599.00100.0098.0029.1471
Average value96.6595.9097.4027.5125
Reduction 5192.7587.5098.0014.3715
296.7596.0097.5015.2637
397.5098.0097.0015.8929
497.7599.0096.5016.2997
599.50100.0099.0016.6792
Average value96.8596.1097.6015.7014