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Naturally, in assessing the probability that a given individual is a member of a particular class, we must account for other information besides the base rate. In particular, we must account for featural evidence.
Depending on the base rate of fraudulent events in the training data it may be necessary to apply appropriate stratified sampling strategies to create a good data set for model building, i.e., a data file where fraudulent vs.
 See also: Likelihood, Classification, Knowledge, Cluster analysis, Data mining
  
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