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Table 11 Classification scores obtained for the C1 test set using different methods

From: Environmental metagenome classification for constructing a microbiome fingerprint

  

NYC

OFA

PXO

SCL

Overall accuracy

Harris et al. [32]

#correct

0

5

10

5

 
 

PPV

—

0.83

1.00

1.00

ACC=0.667

 

TPR

0.00

1.00

1.00

1.00

 

Walker and Datta [22]

#correct

4

1

9

2

 
 

PPV

0.67

1.00

0.75

0.50

ACC=0.533

 

TPR

0.40

0.20

0.90

0.40

 

Zhu [25]

#correct

3

5

7

4

 
 

PPV

—

5.00

0.58

1.00

ACC=0.633

 

TPR

0.30

1.00

0.70

0.80

 

Chierici et al. [23]

#correct

10

0

10

5

 
 

PPV

0.67

—

1.00

1.00

ACC=0.833

 

TPR

1.00

0.00

1.00

1.00

 

Our method using Mash

#correct

0

3

4

2

 

sketch size=1000

PPV

—

1

1

0.5

ACC=0.300

 

TPR

0

0.6

0.4

0.4

 

Our method using Mash

#correct

0

3

6

5

 

sketch size=10000

PPV

—

1

1

1

ACC=0.467

 

TPR

0

0.6

0.6

1

 

Our method using Mash

#correct

0

3

5

4

 

sketch size=100000

PPV

—

1

1

1

ACC=0.400

 

TPR

0

0.6

0.5

0.8

 

Our method using CoMeta

#correct

10

4

2

4

 

(class-level filtering)

PPV

0.91

1.00

0.91

1.00

ACC=0.667

 

TPR

1.00

0.80

1.00

0.80

 

Our method using CoMeta

#correct

10

4

10

4

 

(sample-level filtering)

PPV

0.91

1.00

1.00

1.00

ACC=0.933

 

TPR

1.00

0.80

0.20

0.80

 
  1. We report the number of correctly classified samples (#correct), precision (PPV), and recall (TPR) for each class, as well as the overall accuracy (ACC)