Research Article

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

Table 18

The statistical results of the Second group for experiment 3 with the SVM classifier.

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

Reduction 1192.0087.0097.0021.8717
297.5097.5097.5021.0550
398.5098.5098.5020.3206
498.0099.0097.0022.1164
599.25100.0098.5027.2536
Average value97.0596.4097.7022.5235
Reduction 2194.0088.5099.5023.3123
295.7597.5094.0024.3349
397.5097.0098.0024.4202
497.7599.0096.5025.6607
599.0099.5098.5025.9071
Average value96.8096.3097.3024.7270
Reduction 3192.7586.5099.0025.2584
296.2597.5095.0026.2412
397.7598.0097.5026.0127
497.7599.0096.5026.8670
598.75100.0097.5026.5387
Average value96.6596.2097.1026.1836
Reduction 4191.5085.5097.5025.3231
296.2597.5095.0026.4943
397.5097.0098.0027.5283
498.0099.5096.5032.2954
598.2599.5097.0027.7432
Average value96.3095.8096.8027.8769
Reduction 5192.0088.0096.0019.5196
297.0097.0097.0021.4889
398.2598.0098.5020.3612
498.50100.0097.0021.3361
599.0099.0099.0022.5526
Average value96.9596.4097.5021.0517