Research Article
Motif-Based Text Mining of Microbial Metagenome Redundancy Profiling Data for Disease Classification
Table 3
Classification results of pneumonia data in 2-class problem.
| Method | Error rate | Dimension | Feature | On training data | On test data |
| SVM/FMS | 0.0922 | 0.1279 | 42 | Microbes | SVM/PMF | 0 | 0 | 551 | Sequences | SVM/Kruskal-Wallis | 0.01 | 0 | 28 | Sequences | SVM/Information Gain | 0 | 0.0116 | 26 | Sequences | SVM/Chi-square statistic | 0.01 | 0.0417 | 127 | Sequences | SVM | 0.0667 | 0.0116 | 4390 | Sequences | NNA/FMS | 0.1279 | 0.2393 | 20 | Microbes | NNA/PMF | 0 | 0.0833 | 361 | Sequences | NNA/Kruskal-Wallis | 0.0167 | 0.125 | 13 | Sequences | NNA/Information Gain | 0.0214 | 0.125 | 12 | Sequences | NNA/Chi-square statistic | 0.0381 | 0.125 | 26 | Sequences | NNA | 0.2667 | 0.5 | 4390 | Sequences |
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