A binary classification dataset contains 95% records labeled as class A and only 5% as class B. According to responsible AI practices, how is this dataset's class distribution classified?
Imbalanced dataset
Balanced dataset
Randomly stratified dataset
Augmented dataset
The dataset is imbalanced because one class (class A) overwhelmingly outnumbers the other. An imbalanced dataset can lead a model to favor the majority class and perform poorly on the minority class. A balanced dataset would have roughly equal representation of both classes, while the other listed terms do not describe class proportions.
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