Deep Learning Based Syndrome Diagnosis of Chronic Gastritis

Table 2

Results of model with different multilabel learning (mean ± std.).

	Average precision ↑	Coverage ↓	Hamming loss ↓	One-error ↓	Ranking loss ↓
ML-KNN	0.754 ± 0.031	0.206 ± 0.017	0.166 ± 0.017	0.380 ± 0.059	0.173 ± 0.020
BSVM	0.794 ± 0.037	0.180 ± 0.023	0.166 ± 0.022	0.320 ± 0.065	0.138 ± 0.029
Rank-SVM	0.682 ± 0.018	0.255 ± 0.029	0.232 ± 0.014	0.497 ± 0.025	0.227 ± 0.019
BP-MLL	0.514 ± 0.028	0.395 ± 0.036	0.313 ± 0.010	0.750 ± 0.048	0.390 ± 0.044
CLR	0.784 ± 0.024	0.185 ± 0.023	0.172 ± 0.016	0.343 ± 0.045	0.143 ± 0.021
ECC	0.793 ± 0.021	0.193 ± 0.018	0.150 ± 0.013	0.277 ± 0.038	0.193 ± 0.023
REKAL	0.781 ± 0.026	0.209 ± 0.024	0.152 ± 0.012	0.331 ± 0.036	0.167 ± 0.026
LEAD	0.803 ± 0.019	0.174 ± 0.016	0.151 ± 0.014	0.304 ± 0.034	0.133 ± 0.015
DBN	0.823 ± 0.018	0.158 ± 0.015	0.139 ± 0.014	0.278 ± 0.028	0.116 ± 0.016