Imbalanced Classes: Predicting Hotel Cancellations with Support Vector Machines

When attempting to build a classification algorithm, one must often contend with the issue of an unbalanced dataset.

Michael Grogan
Towards Data Science
6 min readFeb 12, 2020

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Note: The original article is available here, with a link to the relevant GitHub repository and code for this example.

An unbalanced dataset is one where there is an unequal sample size between classes, which induces significant bias into the predictions of the classifier in…

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