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Metrics (Classification)
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ROC / AUC
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32.
AUC of 0.5 Interpretation
easy
What does an AUC of 0.5 indicate about a classifier?
A
The classifier has equal precision and recall at the optimal classification threshold
B
The classifier is perfectly calibrated with predicted probabilities matching observed frequencies
C
The classifier performs no better than random chance — it cannot distinguish positives from negatives
D
The classifier has equal precision and recall at the optimal classification threshold for the given dataset
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