Skip to main content

Table 2 Results of 10-fold cross-validated classification with computed average for the measures for baseline and sensitivity analysis.Times in seconds taken to build respective models are shown as well

From: Employing phylogenetic tree shape statistics to resolve the underlying host population structure

Classifier

Sensitivity

Specificity

AUC

Accuracy

Time in seconds

SVM-linear

Baseline

0.99

0.95

0.98

0.97

1.23

Varied tree size

0.98

0.88

0.93

0.93

1.30

Varied parameters

0.93

0.86

0.90

0.90

1.25

Varied tree size & parameters

0.99

0.97

0.99

0.99

1.18

SVM-polynomial

Baseline

0.99

0.99

0.99

0.99

16.60

Varied tree size

0.98

0.90

0.95

0.94

17.64

Varied parameters

0.99

0.98

0.99

0.99

19.22

Varied tree size & parameters

0.99

0.99

0.99

0.99

16.87

SVM-radial

Baseline

0.99

0.98

0.99

0.99

2.89

Varied tree size

0.94

0.86

0.94

0.90

2.11

Varied parameters

0.99

0.98

0.99

0.99

2.86

Varied tree size & parameters

0.99

0.98

0.99

0.99

2.27

Decision Trees

Baseline

0.98

0.94

0.96

0.96

1.17

Varied tree size

0.96

0.78

0.85

0.87

1.37

Varied parameters

0.83

0.88

0.84

0.86

1.27

Varied tree size & parameters

0.90

0.85

0.85

0.88

1.29

KNN

Baseline

0.99

0.98

0.99

0.99

1.71

Varied tree size

0.98

0.92

0.97

0.95

1.37

Varied parameters

0.99

0.98

0.99

0.99

1.27

Varied tree size & parameters

0.78

0.84

0.87

0.78

1.29