Retreatment Predictions in Odontology by means of CBR Systems

Table 3

AUC for the different classifiers applying 5 × 2 cross-validation.

	-A		-B		-A		-B		-A		-B		-A		-B		-A		-B		Average test samples
NaiveBayes	0.90	0.89	0.91	0.84	0.92	0.83	0.90	0.77	0.92	0.79	0.92	0.89	0.92	0.85	0.89	0.86	0.91	0.84	0.90	0.88		0.84
AdaBoostM1	0.89	0.89	0.91	0.81	0.93	0.77	0.91	0.78	0.95	0.82	0.90	0.82	0.93	0.79	0.91	0.87	0.92	0.82	0.92	0.81	0.82
Bagging	0.95	0.87	0.95	0.84	0.97	0.70	0.96	0.73	0.98	0.80	0.94	0.80	0.92	0.75	0.94	0.83	0.97	0.80	0.92	0.73	0.79
DecisionStump	0.69	0.69	0.64	0.57	0.69	0.57	0.74	0.64	0.69	0.59	0.73	0.65	0.72	0.63	0.69	0.69	0.70	0.68	0.72	0.63	0.63
J48	0.92	0.79	0.96	0.79	0.91	0.76	0.93	0.73	0.97	0.70	0.91	0.77	0.97	0.69	0.88	0.70	0.94	0.61	0.92	0.72	0.73
IBk	1.00	0.77	1.00	0.78	1.00	0.74	1.00	0.70	1.00	0.71	1.00	0.83	1.00	0.79	1.00	0.82	1.00	0.75	1.00	0.74	0.76
JRip	0.79	0.67	0.80	0.69	0.76	0.53	0.90	0.62	0.86	0.67	0.91	0.71	0.90	0.70	0.69	0.69	0.89	0.72	0.85	0.74	0.68
LMT	1.00	0.85	0.97	0.81	0.94	0.77	0.98	0.81	0.99	0.79	0.96	0.83	0.98	0.80	0.94	0.89	1.00	0.83	0.96	0.83	0.82
Logistic	1.00	0.70	1.00	0.64	1.00	0.65	1.00	0.69	1.00	0.62	1.00	0.62	1.00	0.71	1.00	0.68	1.00	0.73	1.00	0.79	0.68
LogitBoost	0.93	0.90	0.95	0.82	0.96	0.78	0.95	0.81	0.97	0.81	0.94	0.86	0.95	0.78	0.92	0.89	0.95	0.80	0.94	0.83	0.83
OneR	0.69	0.69	0.69	0.66	0.69	0.57	0.74	0.64	0.69	0.59	0.73	0.65	0.72	0.63	0.69	0.69	0.70	0.68	0.72	0.63	0.64
SMO	0.92	0.77	0.95	0.73	0.96	0.72	0.91	0.72	0.98	0.72	0.91	0.75	0.96	0.75	0.91	0.75	0.97	0.74	0.90	0.71	0.74
CBR system	0.97	0.89	0.96	0.86	0.98	0.86	0.97	0.81	0.99	0.80	0.97	0.90	0.98	0.88	0.97	0.91	0.98	0.90	0.98	0.87	0.87