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archivedold issue and is out of context of the current developmentold issue and is out of context of the current developmentwontfixThis will not be worked onThis will not be worked on
Description
I have written a very basic Data Programming model for labeling the twitter dataset of adrmine. This currently is a "bad model" with an accuracy of 40% and biased to a single class in our binary classification among 0 and 1. This may have arisen due to a lot of reasons including -
- Quality of LFs(Labelling Functions).
- Coverage of quality LFs.
- Choice of ML model.
I am self assigning this issue currently. But it would be great to have you work on this.
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archivedold issue and is out of context of the current developmentold issue and is out of context of the current developmentwontfixThis will not be worked onThis will not be worked on