Table 2

The distribution of pairs for each corpus according to classification success level using cross-learning setting
AIMed BioInfer HPRD50 IEPA LLL
Total T F T, % F, % Total T F T, % F, % Total T F T, % F, % Total T F T, % F, % Total T F T, % F, %
0 41 0 41 0.0% 0.8% 319 319 0 12.6% 0.0% 1 0 1 0.0% 0.4% 9 9 0 2.7% 0.0% 3 3 0 1.8% 0.0%
1 73 6 67 0.6% 1.4% 362 362 0 14.3% 0.0% 4 2 2 1.2% 0.7% 19 17 2 5.1% 0.4% 5 4 1 2.4% 0.6%
2 199 26 173 2.6% 3.6% 322 312 10 12.3% 0.1% 7 3 4 1.8% 1.5% 33 32 1 9.6% 0.2% 10 9 1 5.5% 0.6%
3 315 39 276 3.9% 5.7% 303 280 23 11.0% 0.3% 23 10 13 6.1% 4.8% 38 36 2 10.7% 0.4% 19 19 0 11.6% 0.0%
4 489 71 418 7.1% 8.6% 321 260 61 10.3% 0.9% 27 15 12 9.2% 4.4% 48 45 3 13.4% 0.6% 25 25 0 15.2% 0.0%
5 606 84 522 8.4% 10.8% 355 239 116 9.4% 1.6% 27 15 12 9.2% 4.4% 44 32 12 9.6% 2.5% 25 20 5 12.2% 3.0%
6 547 94 453 9.4% 9.4% 400 208 192 8.2% 2.7% 41 22 19 13.5% 7.0% 51 34 17 10.1% 3.5% 26 18 8 11.0% 4.8%
7 725 136 589 13.6% 12.2% 432 190 242 7.5% 3.4% 43 18 25 11.0% 9.3% 63 32 31 9.6% 6.4% 20 7 13 4.3% 7.8%
8 721 132 589 13.2% 12.2% 586 146 440 5.8% 6.2% 52 17 35 10.4% 13.0% 69 35 34 10.4% 7.1% 34 18 16 11.0% 9.6%
9 767 110 657 11.0% 13.6% 737 95 642 3.7% 9.0% 61 18 43 11.0% 15.9% 107 36 71 10.7% 14.7% 34 19 15 11.6% 9.0%
10 574 118 456 11.8% 9.4% 1060 79 981 3.1% 13.8% 50 14 36 8.6% 13.3% 110 13 97 3.9% 20.1% 56 8 48 4.9% 28.9%
11 414 69 345 6.9% 7.1% 1906 29 1877 1.1% 26.3% 52 16 36 9.8% 13.3% 131 6 125 1.8% 25.9% 50 12 38 7.3% 22.9%
12 363 115 248 11.5% 5.1% 2563 15 2548 0.6% 35.7% 45 13 32 8.0% 11.9% 95 8 87 2.4% 18.0% 23 2 21 1.2% 12.7%

The distribution of pairs (total, positive and negative) in terms of the number of kernels that classify them correctly. Results shown for each corpus separately. Aggregated results are shown in Figure 2. All but the PT kernel are considered. (PT is extremely slow and provide below average results).

Tikk et al.

Tikk et al. BMC Bioinformatics 2013 14:12   doi:10.1186/1471-2105-14-12

Open Data