Skip to main content

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

CaseAccuracySpecificitySensitivity
10.9434 [0.0626]0.9595 [0.0763]0.9220 [0.1158]
20.8726 [0.0850]0.8720 [0.1206]0.8733 [0.1544]
30.9186 [0.0830]0.9196 [0.1167]0.9220 [0.1286]
40.9600 [0.0658]0.9570 [0.0939]0.9640 [0.0947]
50.8671 [0.0837]0.8785 [0.1128]0.8520 [0.1598]
60.9166 [0.0858]0.9165 [0.1163]0.9167 [0.1313]
  1. Results are reported as mean and standard deviation values over 250 iterations