BMC Medical Informatics and Decision Making

Table 6 The confusion matrix, accuracy and AUC of the four models on testing set

From: Application of data mining methods to improve screening for the risk of early gastric cancer

	Confusion matrix			Accuracy(%)	AUC
		L	H	Accuracy(%)	AUC
C5.0 DT	L	129	14	77.84	0.66
C5.0 DT	H	25	8	77.84	0.66
TAN	L	127	16	77.27	0.65
TAN	H	24	9	77.27	0.65
MLP	L	122	21	77.84	0.74
MLP	H	18	15	77.84	0.74
LR	L	120	23	73.30	0.62
LR	H	24	9	73.30	0.62

Confusion matrix shows the number of cases at each risk of EGC on the testing set. In confusion matrix, the columns denote the actual risk of EGC and the rows denote the predicted; L and H respectively stand for low risk of EGC and high risk of EGC

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ISSN: 1472-6947

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