Predicting Facial Biotypes Using Continuous Bayesian Network Classifiers

Table 4

Performance measures for each classifier (with 4 attributes).

Algorithm	Accuracy %	Kappa
cNB	70.0	0.53
gNB	67.9	0.51
fNB	65.3	0.47
dNB	65.2	0.47
cTAN	68.2	0.51
gTAN	69.3	0.53
fTAN	49.6	0.22
dTAN	60.2	0.39
cITCAN	70.4	0.55
gITCAN	69.3	0.53
fITCAN	48.2	0.22
dITCAN	60.3	0.39
SVM	69.9	0.53