Table 2.
Accuracy for different components combinations of our proposed distance method
| Data sets | Number of species | GDD (%) | GCD (%) | GBD (%) | GCD*GDD (%) | GCD*GBD (%) | GDD*GBD (%) | GCD*GDD*GBD (%) |
| Dataset1 | 52 | 85.12 | 86.44 | 84.54 | 91.45 | 90.29 | 90.29 | 90.29 |
| Dataset2 | 53 | 87.76 | 86.40 | 84.45 | 90.65 | 90.74 | 90.74 | 90.74 |
| Dataset3 | 82 | 80.37 | 92.58 | 84.19 | 94.46 | 95.93 | 96.06 | 98.46 |
| Dataset4 | 398 | 83.73 | 86.56 | 81.23 | 89.93 | 87.07 | 87.28 | 90.07 |
| Dataset5 | 181 | 95.04 | 89.74 | 90.20 | 94.30 | 95.67 | 98.16 | 98.30 |
| Dataset6 | 96 | 87.39 | 85.45 | 84.88 | 99.36 | 99.26 | 99.36 | 99.26 |
| Dataset7 | 277 | 88.70 | 84.04 | 86.75 | 88.71 | 89.71 | 88.23 | 90.71 |
| Dataset8 | 165 | 85.36 | 77.98 | 77.03 | 94.44 | 94.38 | 94.47 | 94.38 |
| Dataset9 | 54 | 89.31 | 87.34 | 83.76 | 92.31 | 92.31 | 92.37 | 96.55 |
GDD = gene dispersion distance, GCD = gene content distance, GBD = gene breakpoint distance. GCD*GDD is the combination of two distance components and GCD*GDD*GBD is the combination of all three terms. All distances are logarithmically transformed.