Applying a Pre-trained Language Model to Spanish Twitter Humor Prediction
Table 3: Comparative Results
['[EMPTY]', 'Accuracy', 'Precision', 'Recall', 'F1']
The first is the baseline NBSVM solution, with an F1 of 0.7548. Second is our first random seed selected for the classifier which produces a 0.8083 result. While better than the NBSVM solution, we pick the best validation F1 from the 20 seeds we tried. This produced our final submission of 0.8099. Also note that our third place entry was 1.1% worse in F1 score than first place but 1.2% better in F1 than the 4th place entry.