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. 2018 Aug 30;2018:7538204. doi: 10.1155/2018/7538204

Table 8.

The performance comparison of RFFS, RFFS-GS, and mRMR algorithm on GEO data set.

Measure RFFS RFFS-GS mRMR
genes 20 18 12
Accuracy 76.9231% 80.0000% 72.3077%
Precision 73.5294% 76.4706% 64.7059%
Recall 80.6452% 83.871% 78.5714%
F-score 76.9231% 80.0000% 70.9677%
AUC 0.75568 0.74242 0.70644