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Table 5 Confusion matrix for predicting the SVM classifier for the test set (n = 383)

From: Head and neck cancer of unknown primary: unveiling primary tumor sites through machine learning on DNA methylation profiles

Prediction

True entity

   
 

Esophagus

Larynx

Lung

Lymphoma

Oral cavity

Oropharynx

Skin

Balanced Accuracy

Sensitivity

Specificity

Esophagus

24

1

1

0

1

1

0

0.87

0.75

0.99

Larynx

3

31

2

0

5

2

1

0.86

0.76

0.96

Lung

1

3

132

0

3

0

0

0.97

0.98

0.97

Lymphoma

0

0

0

16

0

0

0

1.00

1.00

1.00

Oral cavity

3

5

0

0

97

5

0

0.90

0.85

0.95

Oropharynx

1

1

0

0

7

25

1

0.86

0.76

0.97

Skin

0

0

0

0

1

0

10

0.92

0.83

1.00

  1. The true entity of the cohorts’ samples is displayed, and correct predictions are marked in bold. The balanced accuracy is shown as a performance parameter in single-class prediction