1.Introduction
-What is an Imbalance Dataset ?
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The number of negatives overweights the number of positiv
es.
Examples:
•
detection of fraudulent telephone calls,medical diagnosis,spotting unreliable
telecommunication customers,customer churn prediction,credit card fraud
detection...
•
In certain domain problems, the imbalance ratio could be as extreme as 1:10
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