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Table 2 Identification rates using different CV with 60% training data and 40% testing data

From: Improvement in twins handwriting identification with invariants discretization

ROSETA built-in methods an reductions

Genetic algorithm

Holte 1R algorithm

Exhaustive algorithm

Datasets

Pre-Dis

Post-Dis

Pre-Dis

Post-Dis

Pre-Dis

Post-Dis

Tenfold CV

   Mean (%)

10.32

100.0

06.70

100.0

10.32

100.0

   Median (%)

11.53

100.0

05.12

100.0

11.53

100.0

   StdDev (%)

04.64

00.00

04.20

00.00

04.64

00.00

   Maximum (%)

15.38

100.0

17.94

100.0

15.38

100.0

   Minimum (%)

02.56

100.0

02.56

100.0

02.56

100.0

Sevenfold CV

   Mean (%)

09.31

100.0

04.65

100.0

09.31

100.0

   Median (%)

10.90

100.0

03.63

100.0

10.90

100.0

   StdDev (%)

03.57

00.00

01.44

00.00

03.57

00.00

   Maximum (%)

14.54

100.0

07.27

100.0

14.54

100.0

   Minimum (%)

03.63

100.0

03.50

100.0

03.63

100.0

Fivefold CV

   Mean (%)

10.87

100.0

06.48

100.0

10.87

100.0

   Median (%)

11.68

100.0

07.79

100.0

11.68

100.0

   StdDev (%)

03.18

00.00

03.91

00.00

03.18

00.00

   Maximum (%)

14.28

100.0

11.68

100.0

14.28

100.0

   Minimum (%)

06.32

100.0

02.53

100.0

06.32

100.0