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Table 4 Performance comparison on real datasets-2

From: A machine learning framework for genotyping the structural variations with copy number variant

  The proposed method BP G-Features+BP SVM with OVO G-Feature+SVM with OVO
1 0.8875 0.9929 0.9868 0.9279 0.9897
2 0.8917 0.9677 0.9122 0.8753 0.8910
3 0.9083 0.8270 0.6190 0.5653 0.7699
4 0.9082 0.9251 0.7983 0.7131 0.8018
5 0.9000 0.7870 0.6417 0.4540 0.6057
6 0.9167 0.7324 0.6566 0.4017 0.5884
7 0.7258 0.6752 0.5807 0.6455 0.6016
8 0.8917 0.7724 0.7513 0.6131 0.6302
9 0.9083 0.8513 0.9250 0.9633 0.9230
Average 0.8820 0.8367 0.7635 0.6843 0.7557
Range 0.1909 0.3177 0.4061 0.5616 0.4013