Research Article

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

Table 8

The statistical results of the third group for experiment 1 with the SVM classifier.

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

Reduction 1192.7586.0099.509.2492
297.2597.5097.0010.7461
398.5098.5098.5011.3811
497.7599.0096.5011.5560
598.75100.0097.5011.7022
Average value97.0096.2097.8010.9269
Reduction 2193.5087.5099.5014.8245
297.0096.5097.5016.1535
397.7598.5097.0016.6452
498.0098.5097.5017.5450
598.7599.5098.0017.2348
Average value97.0096.1097.9016.4806
Reduction 3191.2583.0099.5020.1904
296.5097.0096.0021.8535
398.0098.0098.0021.9605
496.2599.0093.5022.3091
598.25100.0096.5023.6896
Average value96.0595.4096.7022.0006
Reduction 4193.0087.0099.0016.5454
296.7596.0097.5017.2432
398.7598.5099.0017.9301
498.0099.0097.0018.9560
599.0099.5098.5018.5249
Average value97.1096.0098.2017.8399
Reduction 5192.7586.0099.5014.1173
297.2598.0096.5016.1295
399.0099.5098.5015.8992
497.7599.5096.0016.4876
598.75100.0097.5016.6070
Average value97.1096.6097.6015.8481