Multiplex plasma protein profiling identifies novel markers to discriminate patients with adenocarcinoma of the lung

Table 4 Comparison of performance of different classification models^a

	Specificity	Sensitivity	PPV	NPV	Accuracy
TreeBagger class	0.64	0.93	0.84	0.82	0.84
K-Nearest Neighbour	0.71	0.62	0.82	0.48	0.65
Support vector machine	0.00	1.00	0.67	Div/0	0.67
Linear discriminant analysis	0.71	0.59	0.81	0.45	0.63

^aFor training 80% of lung adenocarcinomas (LAC) and benign were used and 20% of both groups were used for validation. PPV Positive predictive value, NPV Negative predictive value

ISSN: 1471-2407