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Table 2 FVS 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 Surpris Disgus Average
   (%) (%) (%) (%) e (%) t (%) (%)
Hurst Regression tree 54.72 61.90 67.12 65.07 60.96 76.03 64.30
Bayesian classifier 41.22 48.30 46.58 78.10 36.99 92.47 57.27
KNN (K = 6) 58.78 62.58 64.38 65.06 64.38 82.19 66.23
FKNN (K = 11) 55.40 59.18 69.17 63.01 66.43 78.76 65.33
Hurstskewness Regression tree 61.49 64.63 78.08 77.39 73.97 82.19 72.95
Bayesian classifier 29.05 79.59 53.42 71.91 73.97 43.84 58.63
KNN (K = 8) 59.45 62.58 69.86 85.61 74.65 79.45 71.93
FKNN (K = 8) 66.21 61.90 76.71 80.13 77.39 85.61 74.66
Hurstkurtosis Regression tree 68.91 64.62 84.24 91.09 84.25 90.41 80.59
Bayesian classifier 44.59 70.74 61.64 79.45 36.30 100 65.45
KNN (K = 10) 67.56 67.34 80.13 91.09 83.06 95.20 80.81
  FKNN (K = 10) 72.97 65.30 85.61 90.41 86.30 89.72 81.72