Table 1 RRS based analysis for emotion classification
Feature | Classifier | Neutral | Happy | Sad | Fear | Surprise | Disgust | Average |
|---|---|---|---|---|---|---|---|---|
| Â | Â | (%) | (%) | (%) | (%) | (%) | (%) | (%) |
Hurst | Regression Tree | 62.91 | 76.00 | 67.78 | 71.81 | 73.83 | 59.06 | 68.56 |
Bayesian Classifier | 76.82 | 61.33 | 19.46 | 10.07 | 39.00 | 13.42 | 36.78 | |
KNN (K = 7) | 71.52 | 74.00 | 73.83 | 73.15 | 71.81 | 57.04 | 70.23 | |
FKNN (K = 8) | 61.59 | 72.00 | 65.10 | 73.83 | 73.15 | 64.43 | 68.35 | |
Hurstskewness | Regression Tree | 64.24 | 62.00 | 66.44 | 64.43 | 68.46 | 59.73 | 64.22 |
Bayesian Classifier | 81.46 | 73.33 | 14.77 | 11.41 | 28.19 | 11.41 | 36.76 | |
KNN (K = 7) | 68.21 | 64.67 | 63.09 | 68.46 | 67.79 | 61.75 | 65.66 | |
FKNN (K = 10) | 63.57 | 60.00 | 60.40 | 66.44 | 7.79 | 59.06 | 82.88 | |
Hurstkurtosis | Regression Tree | 62.91 | 56.00 | 60.40 | 65.10 | 71.14 | 42.95 | 59.75 |
Bayesian Classifier | 29.80 | 65.33 | 49.66 | 12.75 | 34.89 | 11.41 | 33.98 | |
KNN (K = 10) | 56.29 | 56.67 | 59.06 | 67.79 | 75.17 | 47.65 | 60.44 | |
|  | FKNN (K = 10) | 54.97 | 56.00 | 59.06 | 65.10 | 71.14 | 47.65 | 58.98 |