For a data set of two classes verified and not_verified, I have the following 'detailed accuracy by class'

TP | Rate | FP | Rate | Precision | Recall | F-Measure| MCC ROC | Area PRC | Area | Class
0.746 | 0.440 | 0.760 | 0.746 | 0.753 | 0.303 | 0.653 | 0.732 | verified
0.560 | 0.254 | 0.542 | 0.560 | 0.550 | 0.303 | 0.653 | 0.457 | not_verified


Why verified class has higher F-Measure than the not_verified class?