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. 2019 Dec 27;2:25. doi: 10.1186/s42492-019-0032-7

Table 6.

AUC scores of LMA with duplicates angles over 100 training and testing groups

Angles = 13 Angles = 62 Angles = 171
S = 1 0.8818 ± 0.0438 0.8899 ± 0.0378 0.8887 ± 0.0377
S = 2 0.8621 ± 0.0487 0.8527 ± 0.0463 0.8561 ± 0.0512
S = 3 0.9043 ± 0.0382 0.9053 ± 0.0387 0.9055 ± 0.0374
S = 4 0.8919 ± 0.0382 0.9075 ± 0.0369 0.8993 ± 0.0354
S = 5 0.9159 ± 0.0408 0.9211 ± 0.0385 0.9246 ± 0.0347
S = 6 0.9057 ± 0.0394 0.90764 ± 0.0364 0.9093 ± 0.0392
S = 7 0.9450 ± 0.0285 0.9457 ± 0.0293 0.9378 ± 0.0304
S = 8 0.8887 ± 0.0366 0.9004 ± 0.0373 0.8959 ± 0.0371
S = 9 08825 ± 0.0452 0.9194 ± 0.0391 0.9187 ± 0.0435
Average 0.8975 ± 0.0399 0.9055 ± 0.0378 0.9039 ± 0.0385

AUC Area under the curve of receiver operating characteristic curve, LMA Learning model by multiple angles