Table 9.

COTH classification results of Logistic Regression (LR) and Support Vector Machine (SVM)

LR	2006	2007	2008	2009	2010	2011	average F-score
Recall	0.844	0.902	0.805	0.882	0.830	0.792
Precision	0.704	0.712	0.733	0.667	0.780	0.792
F-score	0.768	0.796	0.767	0.759	0.804	0.792	0.781
SVM
Recall	0.791	0.762	0.717	0.774	0.825	0.914
Precision	0.756	0.780	0.805	0.750	0.750	0.762
F-score	0.773	0.771	0.759	0.762	0.786	0.831	0.780

They are the best two models in terms of average F-score in 2006-2011