Table 2.

The averaged metrics obtained on the feature vector level for the four classification methods. The standard deviation is provided in brackets.

Method	Sensitivity	Specificity	Precision	F1
kNN, k = 5	0.24 (0.016)	0.97 (0.0007)	0.26 (0.015)	0.25 (0.021)
Decision tree	0.47 (0.034)	0.98 (0.0015)	0.47 (0.032)	0.46 (0.033)
Random Forest	0.71 (0.023)	0.99 (0.0010)	0.73 (0.025)	0.71 (0.025)
Naive Bayes	0.25 (0.025)	0.97 (0.0010)	undefined *	undefined *

* means that TP + FP, was equal to zero.