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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

CaseAccuracySpecificitySensitivity
10.9076 [0.0764]0.8530 [0.1553]0.9389 [0.0720]
20.9298 [0.0523]0.8970 [0.1212]0.9486 [0.0587]
30.9595 [0.0479]0.9425 [0.0831]0.9691 [0.0575]
40.9378 [0.0566]0.8905 [0.1356]0.9649 [0.0537]
50.9158 [0.0526]0.8590 [0.1153]0.9483 [0.0607]
60.9685 [0.0405]0.9555 [0.0805]0.9760 [0.0500]
  1. Results are reported as man and standard deviation values over 250 iterations