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A KNN classifier has an AUC (Area Under the ROC Curve) of 0.50 on the test set. What does this indicate?
The classifier performs no better than random guessing
The classifier has a 50% false positive rate
The classifier is perfectly accurate on 50% of the data
The model has moderate performance — acceptable for most tasks
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