I am working towards this sleep disorder paper in artificial neural network i am in need of more medical dataset to done the result effectively kindly share the link related to sleeping disorder medical dataset kindly do the needful and thankyou
If your classes are balanced, why not use the most intuitive measure, Accuracy? If you are not sure, that your classifier chose the best decision boundary you should go for AUC, which is equivalent to the probability that your classifier assigns the higher score to the relevant tweets compared to the irrelevant tweets. Be careful with any other metrics, because they usually don't have a clear meaning and as soon as you get into the regime of unbalanced classes, most metrics are misleading, especially the F-Measure should not be used at all (proof in the attached paper).
https://www.frontiersin.org/articles/10.3389/fncom.2014.00043/full
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