Table 5.
AUC scores of three CM sets with nine different strides for LMD + LMS where D represents displacement
| D = 1 | D = 2 | D = 3 | |
|---|---|---|---|
| S = 1 | 0.8818 ± 0.0438 | 0.8725 ± 0.0461 | 0.8706 ± 0.0489 |
| S = 2 | 0.8621 ± 0.0487 | 0.8486 ± 0.0458 | 0.8751 ± 0.0477 |
| S = 3 | 0.9043 ± 0.0382 | 0.8765 ± 0.0407 | 0.8786 ± 0.0463 |
| S = 4 | 0.8919 ± 0.0382 | 0.8834 ± 0.0368 | 0.8907 ± 0.0417 |
| S = 5 | 0.9159 ± 0.0408 | 0.8971 ± 0.0443 | 09073 ± 0.0446 |
| S = 6 | 0.9057 ± 0.0394 | 0.8988 ± 0.0400 | 09042 ± 0.0447 |
| S = 7 | 0.9450 ± 0.0285 | 0.9303 ± 0.0393 | 0.9223 ± 0.0375 |
| S = 8 | 0.8887 ± 0.0366 | 0.8924 ± 0.0436 | 0.8838 ± 0.0397 |
| S = 9 | 08825 ± 0.0452 | 0.9073 ± 0.0421 | 0.8714 ± 0.0402 |
| Average | 0.8975 ± 0.0.399 | 0.8896 ± 0.0421 | 0.8893 ± 0.0435 |
AUC Area under the curve of receiver operating characteristic curve, CM Co-occurrence matrix, LMS Learning model by multiple strides, LMD Learning model by multiple displacements