Are there controls throughout the analysis design or experiment which might provide to minimize the effects of the non-random comfort sample, thereby making certain the outcomes is going to be additional representative of the population?

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The notion of minimax sampling is not long ago made for any common course of classification policies, why not try here referred to as class-intelligent sensible classifiers. In such a case, the sampling ratio of classes is selected so that the worst situation classifier mistake about all the doable populace statistics for course prior probabilities, would be the most effective.[seven] Accidental sampling[edit]

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