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Table 5 Specificity of some of the SoA classifiers trained on entropy features for emotion recognition

From: Emotion classification from speech signal based on empirical mode decomposition and non-linear features

Model	Min	Mean	Max
LDA	0.9571429	0.9710978	0.9802956
K-NN	0.9194229	0.9360638	0.9523810
SVM	0.9142857	0.9303612	0.9476190
RF	0.9333333	0.9604035	0.9809524
NB	0.9170772	0.9333005	0.9523810
GB	0.9413793	0.9593596	0.9714286

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