Table 2.

Algorithm models of miR-433 and miR-133b for PD prediction.

Models	AUC	Accuracy	Sensitivity	Specificity
Decision tree	0.59	0.58	0.56	0.61
Conditional inference tree	0.56	0.54	0.42	0.68
Random forest	0.59	0.59	0.59	0.59
Support vector machine	0.58	0.56	0.52	0.62
Naive Bayesian	0.62	0.61	0.37	0.87
Logistic regression	0.59	0.58	0.55	0.63

AUC, the area under the receiver operating characteristic curve.