Predicting Facial Biotypes Using Continuous Bayesian Network Classifiers

Table 1

Performance measures for each classifier (with 24 attributes).

Algorithm	Accuracy %	Kappa
cNB	60.4	0.39
gNB	59.5	0.38
fNB	56.0	0.33
dNB	55.2	0.32
cTAN	56.8	0.34
gTAN	58.5	0.37
fTAN	43.9	0.15
dTAN	51.9	0.27
cITCAN	60.8	0.41
gITCAN	59.4	0.38
fITCAN	46.8	0.20
dITCAN	51.8	0.26
SVM	62.7	0.42