Table 2.

Results of syndrome models for inquiry diagnosis on total labels by using ML-kNN, RankSVM, BPMLL and kNN with different symptom subsets

symptoms	Average_Precision(%)
	ML-kNN	kNN	RankSVM	BPMLL
125	76.2 ± 3.1	74.2 ± 3.3	70.9 ± 3.1	76.1 ± 3.8
106	76.6 ± 2.7	73.7 ± 3.3	71.0 ± 3.4	75.0 ± 3.3
83	76.8 ± 2.4	75.0 ± 3.1	74.3 ± 2.9	75.8 ± 3.4
64	76.6 ± 2.9	75.3 ± 2.9	74.4 ± 2.8	73.9 ± 3.9
52	78.0 ± 2.4	74.7 ± 2.3	73.3 ± 2.6	75.1 ± 2.7
32	75.7 ± 3.2	73.7 ± 3.5	72.1 ± 2.9	75.0 ± 2.7
21	74.9 ± 2.9	73.2 ± 3.8	70.5 ± 3.5	74.4 ± 3.3
symptoms	Coverage
	ML-kNN	kNN	RankSVM	BPMLL
125	3.28 ± 0.32	3.44 ± 0.23	3.47 ± 0.28	3.30 ± 0.35
106	3.28 ± 0.27	3.41 ± 0.31	3.43 ± 0.28	3.52 ± 0.32
83	3.29 ± 0.28	3.46 ± 0.28	3.38 ± 0.29	3.32 ± 0.38
64	3.22 ± 0.23	3.43 ± 0.23	3.48 ± 0.29	3.41 ± 0.28
52	3.21 ± 0.24	3.43 ± 0.21	3.38 ± 0.35	3.34 ± 0.27
32	3.25 ± 0.31	3.49 ± 0.35	3.41 ± 0.25	3.43 ± 0.23
21	3.26 ± 0.32	3.51 ± 0.35	3.53 ± 0.36	3.42 ± 0.35
symptoms	Ranking_Loss
	ML-kNN	kNN	RankSVM	BPMLL
125	0.290 ± 0.031	0.394 ± 0.044	0.384 ± 0.032	0.291 ± 0.036
106	0.283 ± 0.029	0.390 ± 0.037	0.351 ± 0.035	0.311 ± 0.031
83	0.277 ± 0.024	0.388 ± 0.037	0.329 ± 0.031	0.337 ± 0.029
64	0.266 ± 0.032	0.384 ± 0.042	0.348 ± 0.040	0.330 ± 0.027
52	0.271 ± 0.028	0.379 ± 0.034	0.353 ± 0.036	0.309 ± 0.048
32	0.273 ± 0.047	0.402 ± 0.036	0.343 ± 0.042	0.294 ± 0.029
21	0.279 ± 0.041	0.414 ± 0.029	0.369 ± 0.044	0.321 ± 0.037