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Table 7 Results of on high-abundance datasets.

From: Exploiting topic modeling to boost metagenomic reads binning

Dataset

AbundanceBin

MCluster

TM-MCluster

 

Pr

Se

F1

Pr

Se

F1

Pr

Se

F1

S1

.7258

.9740

.8317

.9875

.9875

.9875

.9882

.9882

.9882

S2

.4047

.9405

.5600

.9154

.9154

.9154

.9519

.9519

.9519

S3

.5866

.7528

.6594

.8873

.8873

.8873

.9361

.9361

.9361

S4

.4106

.9441

.5723

.8554

.8554

.8554

.8921

.8921

.8921

S5

.1748

.9871

.2970

.7361

.7241

.7301

.7578

.7546

.7562

S6

.7266

.9999

.8416

.9873

.9873

.9873

.9869

.9869

.9869

S7

.3991

.9999

.5705

.9173

.9173

.9173

.9545

.9545

.9545

S8

.8591

.8591

.8591

.8868

.8868

.8868

.9393

.9393

.9393

S9

.6457

.6476

.6466

.8581

.8581

.8581

.8880

.8880

.8880

S10

.1888

.7223

.2993

.7253

.7161

.7207

.7196

.7317

.7256

  1. Each bold value indicates the best result on a certain dataset.