Research Article
A Mobile Bayesian Network Structure Learning Method Using Genetic Incremental K2 Algorithm and Random Attribute Order Technology
Table 2
Result of learning Asia by learn_struct_K2 and GIMK2.
| Sample size | K2 | GAK2 | GIK2 |
| ā | Time (s) | SHD | Time (s) | SHD | Time (s) | SHD | 200 | 0.234 | 3 | 0.205 | 2 | 0.058 | 2 | 500 | 0.240 | 1 | 0.218 | 1 | 0.073 | 1 | 1000 | 0.255 | 1 | 0.220 | 1 | 0.057 | 1 | 3000 | 0.225 | 1 | 0.231 | 1 | 0.062 | 1 | 5000 | 0.232 | 1 | 0.236 | 1 | 0.078 | 1 | 10000 | 0.264 | 1 | 0.238 | 1 | 0.089 | 1 | 15000 | 0.291 | 0 | 0.247 | 0 | 0.141 | 0 | 20000 | 0.376 | 0 | 0.275 | 0 | 0.137 | 0 | 50000 | 0.593 | 0 | 0.279 | 0 | 0.235 | 0 | 100000 | 1.084 | 0 | 0.884 | 0 | 0.423 | 0 |
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