Skip to main content

Table 6 Performance of random forest using different feature set at genus level

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

Evaluation metric

Features

Precision

Recall

F1 score

Ranking loss

Fs+Fm+Fc

0.7288

0.5026

0.5941

0.1365

Fs+Fc

0.7285

0.4654

0.5679

0.1422

Fs+Fm

0.6751

0.5283

0.5927

0.1649

Fc+Fm

0.6930

0.5113

0.5861

0.1440

F c

0.7063

0.4611

0.5576

0.1376

F s

0.6498

0.5227

0.5791

0.1855

F m

0.6328

0.5258

0.5725

0.2552

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

Human Genomics

ISSN: 1479-7364