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Table 3 Settings of Algorithm Options

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

Nr RIPPER RIDOR PART
1 -F 3 -N 2.0 -O 10 -F 3 -S 1 -N 2.0 -A -R -B -M 2 -N 3
2 -F 3 -N 5.0 -O 10 -F 3 -S 1 -N 5.0 -A -R -B -M 5 -N 3
3 -F 3 -N 10.0 -O 10 -F 3 -S 1 -N 10.0 -A -R -B -M 10 -N 3
4 -F 10 -N 2.0 -O 10 -F 10 -S 1 -N 2.0 -A -R -B -M 2 -N 10
5 -F 10 -N 5.0 -O 10 -F 10 -S 1 -N 5.0 -A -R -B -M 5 -N 10
6 -F 10 -N 10.0 -O 10 -F 10 -S 1 -N 10.0 -A -R -B -M 10 -N 10
7 -F 100 -N 2.0 -O 10 -F 20 -S 1 -N 2.0 -A -R -B -M 2 -N 100
8 -F 100 -N 5.0 -O 10 -F 20 -S 1 -N 5.0 -A -R -B -M 5 -N 100
9 -F 100 -N 10.0 -O 10 -F 20 -S 1 -N 10.0 -A -R -B -M 10 -N 100
10 -F 3 -N 2.0 -O 100   -R -M 2 -N 3
11 -F 3 -N 5.0 -O 100   -R -M 5 -N 3
12 -F 3 -N 10.0 -O 100   -R -M 10 -N 3
13 -F 10 -N 2.0 -O 100   -R -M 2 -N 10
14 -F 10 -N 5.0 -O 100   -R -M 5 -N 10
15 -F 10 -N 10.0 -O 100   -R -M 10 -N 10
16 -F 100 -N 2.0 -O 100   -R -M 2 -N 100
17 -F 100 -N 5.0 -O 100   -R -M 5 -N 100
18 -F 100 -N 10.0 -O 100   -R -M 10 -N 100
19    -B -M 2 -C 0.25
20    -B -M 2 -C 0.1
21    -B -M 5 -C 0.25
22    -B -M 5 -C 0.1
23    -B -M 10 -C 0.25
24    -B -M 10 -C 0.1
25    -M 2 -C 0.25
26    -M 2 -C 0.1
27    -M 5 -C 0.25
28    -M 5 -C 0.1
29    -M 10 -C 0.25
30    -M 10 -C 0.1
  1. RIPPER: F: number of folds for reduced error pruning; N: minimal weights of instances within a split; O: number of optimization runs
  2. RIDOR: F: number of folds for reduced error pruning; S: number of shuffles for randomization; A: Flag set to use the error rate of all the data to select the default class in each step. N: minimal weight of instances within a split.
  3. PART: C: confidence threshold for pruning; M: minimum number of instances per leaf; R: use reduced error pruning; N: number of folds for reduced error pruning; B: Use binary splits for nominal attributes