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MLA
Model Development
easy
Question 5 of 62

A data scientist trains a binary classifier on a dataset where 95% of samples are class 0 and 5% are class 1. The model achieves 95% accuracy. What is the most likely explanation?

AThe model has learned a strong discriminative representation of the minority class
BThe model is overfitting the training data
CThe model predicts class 0 for almost all samples, exploiting the class imbalance
DThe accuracy metric correctly reflects excellent model performance on both classes

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