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. 2020 Oct 15;10(10):2032. doi: 10.3390/nano10102032

Table A1.

(A) Confusion matrix. (B) Example of confusion matrix.

(A) Confusion matrix
Pulmonary Toxicity
High Low
Gene
expression
level
(fold of control)
≧Cut off
value
a
(True positives)
b
(False positives)
<Cut off
value
c
(False negatives)
d
(True negatives)
a + c b + d
Sensitivity = The number of true positivesThe number of true positives + The number of false negatives  = aa+c
Specificity = The number of true negativesThe number of false positives + The number of true negatives  = db+d
False positive = The number of false positivesThe number of false positives + The number of true negatives  = bb+d
False negative = The number of false negativesThe number of true positives+ The number of false negatives  = ca+c
a: The number of true positives, b: The number of false positives.
c: The number of false negatives, d: The number of true negatives.
(B) Example of confusion matrix.
CXCL5
at 1 week
Pulmonary Toxicity
High Low
Gene
expression
level
(fold of control)
≧Cut off
value
19 0
<Cut off
value
1 20
20 20
For example, in CXCL5 at 1 week after instillation.
Sensitivity = 1919 + 1 = 0.95, Specificity = 200 + 20 = 1.00,
False positive = 00 + 20 = 0.00, False negative = 119 + 1 = 0.05.