Identification of Traditional Chinese Medicine Constitutions and Physiological Indexes Risk Factors in Metabolic Syndrome: A Data Mining Approach

Table 2

Yield of prediction model (N=325).

Rank	Cases in each bin	Percentage of test cases (n=325)	Cumulative percentage of test cases	Diagnosed cases in each bin	MS prevalence in each bin	Percentage of total diagnosed cases (n=38)	Cumulative percentage of total diagnosed cases (n=38)	Lift (times)
1	40	12.31	12.31	9	22.50	23.68	23.68	1.92
2	38	11.69	24.00	9	23.68	23.68	47.37	2.03
3	36	11.08	35.08	4	11.11	10.53	57.89	0.95
4	34	10.46	45.54	5	14.71	13.16	71.05	1.26
5	34	10.46	56.00	3	8.82	7.89	78.95	0.75
6	32	9.85	65.85	3	9.38	7.89	86.84	0.80
7	30	9.23	75.08	2	6.67	5.26	92.11	0.57
8	28	8.62	83.69	2	7.14	5.26	97.37	0.61
9	27	8.31	92.00	1	3.70	2.63	100	0.32
10	26	8.00	100	0	0.00	0.00	100	0