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. 2021 Mar 26;11:6950. doi: 10.1038/s41598-021-85699-0

Table 3.

Confusion matrix (actual versus predicted classes), accuracy, sensitivity, specificity, AUROC of the support vector machine classification on each of 11 models.

Model Variables Predicted Actual classes Accuracy (%) Sensitivity (%) Specificity (%) AUROC (%)
Healthy PM
1 TEPS fovea→disc and TEPS fovea→DPE Healthy 189 9 85.27 77.50 86.70 82.10
PM 29 31
2 TEPS distance and TEPS fovea→DPE Healthy 177 9 80.62 77.50 81.19 79.3
PM 41 31
3 TEPS disc→DPE and TEPS fovea→DPE Healthy 190 9 85.6 77.50 87.16 82.33
PM 28 31
4 TEPS distance and TEPS fovea→disc Healthy 190 14 83.72 65.50 87.1 76.08
PM 28 26
5 TEPS disc→DPE and TEPS fovea→disc Healthy 189 9 85.27 77.50 86.70 82.10
PM 29 31
6 TEPS distance and TEPS disc→DPE Healthy 201 21 85.27 47.50 92.20 69.85
PM 17 19
7 4 TEPS variables Healthy 192 9 86.43 77.50 88.07 82.79
PM 26 31
8 AL Healthy 174 14 77.52 65.00 79.82 72.41
PM 44 26
9 CT Healthy 165 15 73.64 62.50 75.69 69.09
PM 53 25
10 AL & CT Healthy 167 10 76.36 75.00 76.61 75.80
PM 51 30
11 All variables Healthy 204 8 91.47 80.00 93.58 86.47
PM 14 32

AL axial length, AUROC area under receiver operating characteristic curve, CT choroidal thickness, DPE deepest point of the eyeball, PM pathologic myopia, TEPS tomographic elevation of the posterior sclera.