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Statistical classification is the problem of identifying the sub-population to which new observations belong, where the identity of the sub-population is unknown, on the basis of a training set of data containing observations whose sub-population is known. Therefore these classifications will show a variable behavior which can be studied by statistics.
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Improve performance for weak class in multi-class classification
In a multi-class classification problem, models that I've trained (and which I intend to use in a majority voting ensemble) consistently get weak performance on a couple of specific classes. … I had an idea but I'm not quite sure how to implement it: train an additional model that does binary classification on the weak class vs all others, then add that to the majority vote (either raw votes …