Hi,
I have a question regarding task b:
In the codalab site you wrote:
"Although training threads for task B (verification) come with three
labels, true, false and unverified, you should classify into two
classes; true and false."
Then, few lines later:
"Unverified items should receive a confidence score of zero. For the F1
calculation, confidences below 0.5 will be considered a classification
of unverified."
In the training data we have 3 labels, Should we discard "unverified" label in the produced predictions file or keep it but with confidence of ZERO?
Best,