To Be or Not To Be a Verbal Multiword Expression:A Quest for Discriminating Features
Table 3: Best mean performance on 10% of TrainST (in 10 cross-fold validation). The feature sets are detailed in Tab. 4.
['[BOLD] FeatSelect', '[BOLD] Feature set', '[BOLD] Classif', '[BOLD] P', '[BOLD] R', '[BOLD] F', '[ITALIC] σ']
Tab. P, R and F are the mean scores from the 10 folds, and σ is the variance of the 10 F-scores. Optimal feature sets mentioned in Tab.