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AWS Certified AI Practitioner · AWS
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D. Measure class imbalance on the training dataset. Adapt the training process accordingly.
When developing an unbiased machine learning (ML) model, it's crucial to address issues like class imbalance in the training data. Class imbalance refers to the situation where certain classes (or demographic groups, in this case) are underrepresented compared to others. If class imbalance exists, the model might learn to favor the majority class and perform poorly on minority classes, leading to biased predictions.