Research Article
Ensemble Classification Based on Feature Selection for Environmental Sound Recognition
Table 5
Accuracy of different feature selection methods at k = 2/3 of subsets on five classes.
| Methods | Bird | Wind | Rain | Frog | Thunder |
| Correlation | 0.6702 | 0.7568 | 0.6802 | 0.6184 | 0.702 | GainRatio | 0.6091 | 0.7461 | 0.6207 | 0.6223 | 0.7092 | InfoGain | 0.6382 | 0.7512 | 0.6321 | 0.6117 | 0.73 | OneR | 0.6019 | 0.7143 | 0.6419 | 0.6429 | 0.7172 | ReliefF | 0.6263 | 0.7716 | 0.6207 | 0.5924 | 0.6471 | SymmetricalUncert | 0.6443 | 0.7463 | 0.6394 | 0.5959 | 0.7206 | csFs | 0.6311 | 0.7719 | 0.657 | 0.6624 | 0.7534 | MmEnFs1 | 0.74 | 0.775 | 0.765 | 0.62 | 0.75 | MmEnFs2 | 0.755 | 0.785 | 0.76 | 0.665 | 0.7715 |
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