Table 17 Objective 2: performances of the application of the MOGA algorithm on each of the six different feature datasets
From: Biometric handwriting analysis to support Parkinson’s Disease assessment and grading
Case | Accuracy | Specificity | Sensitivity |
|---|---|---|---|
1 | 0.9434 [0.0626] | 0.9595 [0.0763] | 0.9220 [0.1158] |
2 | 0.8726 [0.0850] | 0.8720 [0.1206] | 0.8733 [0.1544] |
3 | 0.9186 [0.0830] | 0.9196 [0.1167] | 0.9220 [0.1286] |
4 | 0.9600 [0.0658] | 0.9570 [0.0939] | 0.9640 [0.0947] |
5 | 0.8671 [0.0837] | 0.8785 [0.1128] | 0.8520 [0.1598] |
6 | 0.9166 [0.0858] | 0.9165 [0.1163] | 0.9167 [0.1313] |