Table 7 The results of ablation study of using different components of MetaMLAnn by cross validation on New York and Boston datasets at genus level

From: Prediction of microbial communities for urban metagenomics using neural network approach

Evaluation metric
	Precision	Recall	F1 score	Ranking loss
New York dataset
B_shared only	0.7388	0.4986	0.5952	0.1299
B_i only	0.7339	0.5379	0.6204	0.0765
B_i+B_shared	0.7456	0.5325	0.6212	0.0682
Boston dataset
B_shared only	0.6002	0.5920	0.5890	0.1896
B_i only	0.7574	0.5660	0.6428	0.1316
B_i+B_shared	0.7674	0.6706	0.7095	0.1270

Higher precision, recall, F1 score, and lower ranking loss indicate better performance. Bold entries indicate best performance among different methods

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