Table 3 Forward Sequential Predictive Analysis for Combined Data. This analysis started with combining both Airport Terminal and Environmental data for M03, then added M06, M09, and M12.

From: Machine learning prediction and classification of behavioral selection in a canine olfactory detection program

 

M03

 + M06

 + M09

 + M12

Logistic Regression

 Accuracy

0.83

0.79

0.84

0.88

 Precision

0.84/0.00

0.84/0.00

0.89/0.38

0.91/0.50

 Recall

0.98/0.00

0.92/0.00

0.94/0.25

0.97/0.25

 F1

0.90/0.00

0.88/0.00

0.91/0.30

0.94/0.33

 AUC

0.490

0.462

0.593

0.608

Support Vector Machine

 Accuracy

0.84

0.85

0.87

0.88

 Precision

0.84/0.00

0.85/0.00

0.87/0.00

0.91/0.50

 Recall

1.00/0.00

1.00/0.00

1.00/0.00

0.97/0.25

 F1

0.92/0.00

0.92/0.00

0.93/0.00

0.94/0.33

 AUC

0.500

0.500

0.500

0.609

Random Forest

 Accuracy

0.84

0.85

0.87

0.87

 Precision

0.86/0.50

0.86/0.50

0.87/0.50

0.87/0.50

 Recall

0.98/0.11

0.99/0.06

0.99/0.08

0.99/0.08

 F1

0.91/0.18

0.92/0.11

0.93/0.14

0.93/0.14

 AUC

0.545

0.526

0.535

0.535