First, we aim to show the importance of using data sampling when evaluating on F-measure; specifically, we expect under-sampling to outperform no sampling, over-sampling to outperform under-sampling, and over-sampling with transformations to out perform over-sampling without transformations.
the social event classification task does not suffer from data skewness because the INR and COG relations; both occur almost the same number of times.