Misleading Metadata Detection on YouTube
Table 4: Overall performance comparison of classifiers on FVC30 test set
['Classifier', 'Training Set', 'Precision', 'Recall', 'F-Score']
Random forests has been reported in the table since it was the best performing simple classifier on the test set. We can see that even if trained on (a balanced subset of) VAVD, UCNet performs better than any simple classifier or the baseline.