Research Article
Predicting Facial Biotypes Using Continuous Bayesian Network Classifiers
Table 3
Nemenyi test for single models (with 24 attributes) in terms of accuracy (%).
| | cNB | gNB | fNB | dNB | cTAN | gTAN | fTAN | dTAN | cITCAN | gITCAN | fITCAN | SVM |
| gNB | 1.00 | | | | | | | | | | | | fNB | 0.12 | 0.41 | | | | | | | | | | | dNB | 0.00 | 0.03 | 0.99 | | | | | | | | | | cTAN | 0.13 | 0.44 | 1.00 | 0.99 | | | | | | | | | gTAN | 0.91 | 0.99 | 0.98 | 0.44 | 0.99 | | | | | | | | fTAN | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | | | | | | | dTAN | 0.00 | 0.00 | 0.39 | 0.97 | 0.36 | 0.01 | 0.01 | | | | | | cITCAN | 1.00 | 0.99 | 0.04 | 0.00 | 0.04 | 0.72 | 0.00 | 0.00 | | | | | gITCAN | 1.00 | 1.00 | 0.33 | 0.01 | 0.35 | 0.99 | 0.00 | 0.00 | 0.99 | | | | fITCAN | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.99 | 0.16 | 0.00 | 0.00 | | | dITCAN | 0.00 | 0.00 | 0.17 | 0.85 | 0.16 | 0.00 | 0.02 | 1.00 | 0.00 | 0.00 | 0.36 | | SVM | 0.59 | 0.22 | 0.00 | 0.00 | 0.00 | 0.01 | 0.00 | 0.00 | 0.83 | 0.29 | 0.00 | 0.00 |
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