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Zbynek Bazanowski

Roman Orac

Roman Orac

Mar 31, 2019·1 min read

If we would use classification accuracy as the main metric to optimize, the classifier could achieve high accuracy because it would classify all users as non-churned. If there are 90% of non-churned users in the dataset, it would achieve 90% classification accuracy.

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Roman Orac

Senior Data Scientist, tweeting twitter.com/romanorac.

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Senior Data Scientist, tweeting twitter.com/romanorac.

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