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We use discrimination where we want to tell apart the collection of objects from the outcome. Classification is all about classifying the information into predefined categories.
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Then we use z-score whenever we need to see how significantly the typical is from the data level. This is a metric that calculates the amount of conventional deviations which have been possibly under or higher than the widespread suggest specified.
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