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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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Selection bias and reliability

I need a bit of help with interpretation of classification results. … This way I introduce selection bias and I get good classification results on test data (not balanced). Can I assume that those results are reliable ? …
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Anomaly classification probability on Machine Learning

It seems that you have to balance your dataset, if this the case it is easier for your classifier to predict majority class, you may look into undersampling/oversampling https://github.com/fmfn/Unbala …
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