Submission and Evaluation
Evaluation plan
The classification systems’ performance will be measured in terms of macro-averaged precision, macro-averaged recall, and macro-averaged F-Score across all the classes. Participants are encouraged to check their system with Sklearn classification report
https://scikit-learn.org/stable/modules/generated/sklearn.metrics.classification_report.html
The participants are required to submit the predicted data in a tab-separated single file named 'predictions.csv’.
The ‘predictions.csv’ file should have two columns named Comment (text), sarcasm or not.
For more information, please check the codalab link: