Table 9 Objective 1: 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 | 0.9076 [0.0764] | 0.8530 [0.1553] | 0.9389 [0.0720] |
2 | 0.9298 [0.0523] | 0.8970 [0.1212] | 0.9486 [0.0587] |
3 | 0.9595 [0.0479] | 0.9425 [0.0831] | 0.9691 [0.0575] |
4 | 0.9378 [0.0566] | 0.8905 [0.1356] | 0.9649 [0.0537] |
5 | 0.9158 [0.0526] | 0.8590 [0.1153] | 0.9483 [0.0607] |
6 | 0.9685 [0.0405] | 0.9555 [0.0805] | 0.9760 [0.0500] |