Diagramme de déséquilibre des classes


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rediriger vers class imbalance données déséquilibrées Graphique du déséquilibre des classes

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 Class Imbalance Plot

The class imbalance plot detects the imbalance of classes in the target column in classification datasets.

Class imbalance happens when one class has significantly more instances than the other class. For example, a dataset related to spam email detection has 9900 instances for the “Not spam” category and just 100 instances for the “Spam” category. The model will fail to capture the minority class (the Spam category). As a result of this, the model will not be accurate in predicting the minority class when a class imbalance occurs 


Source : towardsdatascience



Contributeurs: Imane Meziani, wiki