Using Multi-Label Classification for Improved Question Answering
Table 2: F1-Score leave-one-out: Classifier performance computed using Leave-One-Out methodology. F1-Score Full: Classifier performance tested and trained on all questions.
['[BOLD] Classifier', '[BOLD] F1-Score leave-one-out', '[BOLD] F1-Score Full']
Furthermore, we tested the performance of all above classifiers, using all the features in two setups. First, we tested and trained the classifiers on 99 questions and used the remaining single question for testing. We repeated this leave-one-out procedure for all questions and calculated the average F1-score. Second, we tested the performance of all above classifiers using all questions as training set.