Integer Programming Ensemble of Temporal Relations Classifiers
Table 11: Semeval2016 results: Results of ensemble composed of classifiers Ut1/L1/G/K1/Ub1.
['Testset', 'Classifier Precision', 'Ensemble Precision', 'Classifier Recall', 'Ensemble Recall', 'Classifier F1 score', 'Ensemble F1 score']
We used Cohen’s d measure to evaluate the effect size, or the strength of the improvement considering the variability in the data. Cohen’s d ia the standardised difference between two means: d=|¯¯¯¯¯x1−¯¯¯¯¯x2|sp where sp is the pooled standard deviation of the samples of sizes n1,n2, respectively, with standard deviations s1,s2, respectively, is: sp= ⎷(n1−1)s21+(n2−1)s22n1+n2−2