Table 1.
RRS based analysis for emotion classification
|
Feature |
Classifier |
Neutral |
Happy |
Sad |
Fear |
Surprise |
Disgust |
Average |
|---|---|---|---|---|---|---|---|---|
| (%) | (%) | (%) | (%) | (%) | (%) | (%) | ||
| 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 |