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Table 7 Quantitative Results - Models Level

From: Rule based classifier for the analysis of gene-gene and gene-environment interactions in genetic association studies

      RIPPER RIDOR PART
Model Dataset SNPs Patients Error [%] A B C D A B C D A B C D
A 1 500 300 5 0 1 7 0 0 0 0 0 0 0 0 0
A 2 1500 300 5 0 0 0 0 0 0 0 0 0 0 0 2
A 3 3000 300 5 0 0 0 0 0 0 0 0 0 0 0 0
A 4 500 600 5 3 1 0 0 0 0 0 0 0 0 0 0
A 5 1500 600 5 7 5 0 0 0 0 0 0 0 0 0 0
A 6 3000 600 5 1 2 2 0 0 0 0 0 0 0 0 0
A 7 500 300 10 0 0 0 0 0 0 0 0 0 0 0 0
A 8 1500 300 10 0 1 0 0 0 0 0 0 0 0 0 0
A 9 3000 300 10 0 0 0 0 0 0 0 0 0 0 0 0
A 10 500 600 10 8 0 1 0 0 0 0 0 0 0 0 0
A 11 1500 600 10 0 0 0 7 0 0 0 0 0 0 0 0
A 12 3000 600 10 1 0 1 0 0 0 0 0 0 0 0 0
A 13 500 300 20 0 0 0 0 0 0 0 0 0 0 0 0
A 14 1500 300 20 0 0 0 0 0 0 0 0 0 0 0 0
A 15 3000 300 20 0 0 0 0 0 0 0 0 0 0 0 0
A 16 500 600 20 6 3 0 0 0 0 0 0 0 0 0 0
A 17 1500 600 20 0 0 0 0 0 0 0 0 0 0 0 0
A 18 3000 600 20 0 0 0 0 0 0 0 0 0 0 0 0
B 19 500 150+150 5 11 7 0 0 2 0 1 0 1 1 0 0
B 20 1500 150+150 5 15 0 3 0 0 1 0 0 2 0 0 0
B 21 3000 150+150 5 4 4 2 0 0 0 0 3 0 0 1 1
B 22 500 300+300 5 14 0 4 0 0 0 0 0 5 0 0 0
B 23 1500 300+300 5 18 0 0 0 0 0 0 0 0 2 0 0
B 24 3000 300+300 5 17 1 0 0 0 0 0 0 1 1 0 0
B 25 500 150+150 10 7 10 0 0 0 0 0 0 1 0 2 0
B 26 1500 150+150 10 0 2 2 0 0 0 0 1 0 1 2 1
B 27 3000 150+150 10 0 3 2 1 0 0 0 0 0 0 0 0
B 28 500 300+300 10 18 0 0 0 1 0 0 0 1 1 0 0
B 29 1500 300+300 10 17 1 0 0 0 0 0 0 0 1 1 0
B 30 3000 300+300 10 13 1 0 0 0 0 0 0 0 0 0 0
B 31 500 150+150 20 0 0 7 1 0 0 0 1 0 0 0 0
B 32 1500 150+150 20 0 0 1 0 0 0 0 0 0 0 0 0
B 33 3000 150+150 20 0 0 4 4 0 0 0 0 0 0 0 0
B 34 500 300+300 20 0 4 1 0 0 0 0 0 0 0 0 0
B 35 1500 300+300 20 0 0 1 0 0 0 0 0 0 0 0 0
B 36 3000 300+300 20 0 0 0 7 0 0 0 0 0 0 0 0
C 37 500 300 n.a. 0 0 0 0 0 0 0 0 0 0 0 0
C 38 1500 300 n.a. 0 0 0 0 0 0 0 0 0 0 0 0
C 39 3000 300 n.a. 0 0 0 0 0 0 0 0 0 0 0 0
C 40 500 600 n.a. 0 0 0 0 0 0 0 0 0 0 0 0
C 41 1500 600 n.a. 0 0 0 0 0 0 0 0 0 0 0 0
C 42 3000 600 n.a. 0 0 0 0 0 0 0 0 0 0 0 0
  1. Summary of the results at the model level, separated by algorithm, case-control model, dataset and grading. Number expresses the absolute frequency of the respective grading assignment.