Discovery of Diagnosis Pattern of Coronary Heart Disease with Qi Deficiency Syndrome by the T-Test-Based Adaboost Algorithm

Table 5

The association between symptom and the five biological parameters was established by the algorithm.

Samples	TP	FN	FP	TN	Sensitivity (%)	Specificity (%)	Accuracy (%)
Full samples	79	11	17	30	87.7	63.8	79.6

The classification accuracy is ~80%.