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Table 1 RRS based analysis for emotion classification

From: Classification of emotional states from electrocardiogram signals: a non-linear approach based on hurst

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