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Table 2 Comparison of the performance of different classifiers for facial palsy classification

From: paraFaceTest: an ensemble of regression tree-based facial features extraction for efficient facial paralysis classification

classifier

Sensitivity(%)

Specificity(%)

RLR

85.9

97.7

RF

92.3

95.0

SVM

72.5

94.8

DT

90.2

94.0

NB

79.9

95.4

hDT_RLR

97.5

94.9

hDT_RF

94.3

95.4

hDT_SVM

96.9

90.0

hDT_NB

96.9

90.9

hLR_RF

92.2

94.1

hLR_SVM

85.9

94.8

hLR_DT

92.5

93.7

hLR_NB

85.9

95.4

hRF_RLR

96.0

92.3

hRF_SVM

97.1

90.5

hRF_DT

95.4

93.1

hRF_NB

96.3

90.2

hSVM_LR

85.9

94.8

hSVM_RF

88.0

94.2

hSVM_DT

92.5

93.4

hSVM_NB

83.0

91.7

hNB_LR

85.9

95.4

hNB_RF

87.9

96.0

hNB_DT

95.9

90.9

hNB_SVM

83.0

91.6