| Â | Â | Â | Â | Â |
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
|
- 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.
