DataX Practice Questions - CompTIA DataX (DY0-001) Exam

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A data scientist is selecting a loss function for a binary classification model where false negatives are 10x more costly than false positives (e.g., disease screening). Which loss function BEST addresses this class-cost imbalance?

Weighted binary cross-entropy assigning a higher penalty weight to false negatives Mean squared error (MSE) with standard uniform weighting Hinge loss used in support vector machines Categorical cross-entropy with softmax output activation

Correct Answer:

Weighted binary cross-entropy assigning a higher penalty weight to false negatives

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