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Table 5 Confusion matrix for classifiers of ADC vs. SQC relying on Δ x 205, Δ x 21, x U6 as well as on y DV (see Eq. (2)) and y opt (see Eq. (10))

From: Statistical analysis of a Bayesian classifier based on the expression of miRNAs

  

Classification

Measure

Diagnosis

Target

Versus

  

ρ>9

9>ρ>1

9>ρ>1

ρ>9

Δ x 205

target

12

5

1

0

 

versus

0

0

6

9

Δ x 21

target

9

9

1

0

 

versus

8

5

2

1

x U6

target

2

14

3

0

 

versus

3

4

8

1

y DV

target

16

1

1

0

 

versus

0

1

1

13

y opt

target

16

1

1

0

 

versus

1

0

0

14

  1. The quantity ρ corresponds to the odds: ρ=1 50:50; ρ=9 90:10. Entries in italic refer to false responses (false positives and negatives); the other entries refer to correct responses (true positives and negatives); high-reliability entries, with odds at least 90:10, are marked in bold