Table 3. Average relevance scores over 100 iterations using random subset feature selection algorithm.
Segmentation | Features† | ||||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Test number | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | |
1 | 6.22 | 1.61 | 1.08 | 1.81 | 1.64 | 0.23 | 0.65 | 0.11 | 1.06 | 0.94 | 0.16 | 0.03 | 0.42 | 0.09 | 0.00 | 0.00 | |
2 | 8.99 | 0.09 | 0.31 | 1.41 | 1.03 | 0.20 | 0.28 | 1.22 | 0.92 | 1.77 | 0.27 | 0.10 | 1.28 | 0.30 | 0.00 | 0.00 | |
3 | 10.03 | 1.24 | 0.00 | 0.42 | 0.00 | 0.12 | 1.62 | 0.15 | 1.19 | 1.46 | 0.00 | 0.00 | 0.18 | 0.59 | 0.00 | 0.00 | |
Average | 8.41 | 0.98 | 0.46 | 1.21 | 0.89 | 0.18 | 0.85 | 0.49 | 1.06 | 1.39 | 0.14 | 0.04 | 0.63 | 0.33 | 0.00 | 0.00 |