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Table 5 Accuracy (Acc) rates in percentage and total of selected features (SF) for all the combinations of signature, touch and keyboard

From: An investigation of the predictability of the Brazilian three-modal hand-based behavioural biometric: a feature selection and feature-fusion approach

Feature Algorithm Keyboard + touch Signature + keyboard Signature + touch
selection   Acc (FS) Acc (FS) Acc (FS)
No selection KNN 20.17 (66) 37.71 (74) 43.85 (54)
  SVM 20.61 (66) 38.15 (74) 42.54 (54)
  MLP 28.07 (66) 48.68 (74) 42.54 (54)
  LIBSVM 20.61 (66) 35.52 (74) 35.96 (54)
  WISARD 51.61 (66) 66.22 (74) 64.91 (54)
Manual KNN 56.71 (27) 9.64 (11) 10.08 (11)
  SVM 10.39 (40) 13.59 (5) 32.89 (13)
  MLP 54.11 (19) 21.05 (26) 16.67 (12)
  LIBSVM 03.50 (20) 01.31 (37) 01.31 (39)
  WISARD 18.42 (35) 10.96 (7) 30.26 (17)
CFS KNN 67.53 (4) 64.47 (10) 62.28 (10)
  SVM 66.67 (4) 08.77 (10) 9.21 (10)
  MLP 41.99 (4) 60.08 (10) 58.77 (10)
  LIBSVM 08.33 (2) 55.26 (10) 53.50 (10)
  WISARD 60.47 (2) 67.98 (10) 66.22 (10)
RELIEF KNN 67.53 (5) 60.96 (18) 57.01 (12)
  SVM 66.67 (5) 60.96 (18) 58.33 (12)
  MLP 59.31 (5) 60.52 (18) 56.67 (12)
  LIBSVM 44.29 (33) 57.89 (18) 50.00 (12)
  WISARD 66.26 (33) 74.12 (18) 68.85 (12)
GA KNN 74.33 (20) 75.26 (25) 77.63 (19)
  SVM 48.02 (29) 63.41 (40) 41.83 (27)
  MLP 33.94 (35) 73.28 (40) 59.60 (32)
  LIBSVM 8.81 (20) 85.92 (22) 76.05 (8)
  WISARD 95.91 (32) 96.84 (31) 84.60 (25)