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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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MCC or F-measure, which measure is the best to represent multi-class confusion matrix
I would like to use some measure to represent the classification performance for each class and for all of them. …
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How to represent no-detection in a confusion matrix
So let's say we have a multi-class classification problem and we want to represent the outcomes as confusion matrix. All the examples I'm finding on the web asume that all the elements are detected. …