ClassiNet – Predicting Missing Features for Short-Text Classification
Table 2: Binary classification accuracies.
['Method', '[BOLD] TR', '[BOLD] MR', '[BOLD] CR', '[BOLD] SUBJ']
For each dataset we indicate the best performing method using boldface font, whereas an asterisk indicates if the best performance reported is statistically significantly better than the second best method on the same dataset according to a two-tailed paired t-test under 0.01 confidence level. Moreover, in MR and CR datasets its performance is significantly better than the second best methods (respectively SCL and All Neigbour Expansion) on those two datasets .