Research Article
Ensemble Classification Based on Feature Selection for Environmental Sound Recognition
Table 6
Accuracy of different feature selection methods at k = 3/4 of subsets on five classes.
| Methods | Bird | Wind | Rain | Frog | Thunder |
| Correlation | 0.6512 | 0.7754 | 0.6856 | 0.5829 | 0.6976 | GainRatio | 0.6215 | 0.7634 | 0.6618 | 0.64 | 0.75 | InfoGain | 0.6275 | 0.735 | 0.625 | 0.6064 | 0.7708 | OneR | 0.6436 | 0.7436 | 0.6186 | 0.6166 | 0.7333 | ReliefF | 0.6567 | 0.7143 | 0.648 | 0.6471 | 0.7143 | SymmetricalUncert | 0.63 | 0.7337 | 0.6233 | 0.5907 | 0.7668 | csFs | 0.6385 | 0.7563 | 0.6837 | 0.6493 | 0.7259 | MmEnFs1 | 0.735 | 0.75 | 0.705 | 0.595 | 0.745 | MmEnFs2 | 0.7325 | 0.7525 | 0.7175 | 0.655 | 0.75 |
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