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Table 1 Micro- and macro-averaged performance measures across 19 experiments using random forests

From: Machine Learning for detection of viral sequences in human metagenomic datasets

Method

Class

Precision

Recall

F1-score

Micro-average

Non virus

0.97

1.00

0.99

Micro-average

Virus

0.92

0.05

0.10

Macro-average

Non virus

0.96

1.0

0.98

Macro-average

Virus

0.53

0.04

0.08

  1. The results presented are from the best model according to area under ROC curve (ROCmicro=0.789). This model used 5000 trees, balanced class weights and no down nor upsampling