Research Article

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

Table 13

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

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

Reduction 1192.2584.50100.008.1271
295.5097.0094.009.4583
395.7594.0097.508.8198
496.0098.0094.009.3754
597.2599.0095.509.8691
Average value95.3594.5096.209.1299
Reduction 2192.0084.5099.506.4894
296.2595.5097.008.0198
395.2593.0097.507.7337
496.0097.5094.507.6012
598.00100.0096.008.2763
Average value95.5094.1096.907.6241
Reduction 3192.0084.5099.506.4894
296.2595.5097.008.0198
395.2593.0097.507.7337
496.0097.5094.507.6012
598.00100.0096.008.2763
Average value95.5094.1096.907.6241
Reduction 4192.7585.50100.006.7264
296.7596.0097.507.8467
396.0094.5097.507.3022
495.7597.5094.007.9460
598.00100.0096.008.4184
Average value95.8594.7097.007.6479
Reduction 5192.0084.5099.5011.4719
296.2597.5095.0012.8705
398.5099.0098.0013.2049
497.7599.5096.0013.3513
598.50100.0097.0013.3144
Average value96.6096.1097.1012.8426