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. 2020 Mar 19;20(6):1705. doi: 10.3390/s20061705

Table 3.

Averaged sensitivity (SN), specificity (SP), accuracy, and Gmean for the best feature vector of each patient over the 100 repetitions performed for both multilayer perceptron networks (MLP) and support vector machines (SVM). Results are presented as a percentage.

Patient ID Sensitivity Specificity Accuracy Gmean
MLP SVM MLP SVM MLP SVM MLP SVM
P12 64.08 67.63 63.19 61.30 63.39 62.76 63.28 64.31
P18 65.45 76.91 79.10 71.98 76.64 72.87 71.73 74.34
P23 66.47 74.93 78.86 81.75 76.47 80.44 72.11 78.18
P29 65.71 78.35 72.98 82.20 69.81 80.53 69.00 80.20
P34 63.08 69.00 86.57 84.50 82.38 81.74 73.70 76.14
P40 74.43 80.57 88.22 88.74 85.38 87.06 80.69 84.37
P45 77.81 81.43 78.62 86.54 78.12 83.38 77.95 83.86
P51 100.00 100.00 99.73 100.00 99.79 100.00 99.86 100.00
P56 79.90 79.15 91.37 82.09 87.20 81.02 85.44 80.54
P62 72.57 79.53 70.15 75.97 71.51 77.97 71.19 77.70
Median 69.52 78.75 78.98 82.15 77.38 80.77 72.90 79.19