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The label bot will provide predictions to label certain issues and pull requests. We will gather these metrics and accuracy figures, and given a certain accuracy threshold we can have the label bot label an issue as it see fit (based on a threshold i.e. >90% accuracy). We want to make sure to the best degree possible that all these labelled issues by the bot have the correct labels on them. If it isn't able to meet this threshold, it can provide a recommendation to the user of the labels it predicted. Note: Labelling is not permanent, we can always remove labels - however we would strive for this to be at a minimum.

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