A model with an AUC value of 1 means it has _________ performance, while an AUC value of 0.5 means the model is performing no better than _________.
- Optimal, Random guessing
- Perfect, Random guessing
- Perfect, a specific threshold
- nan
An AUC value of 1 signifies perfect performance, and the model perfectly separates the classes. An AUC value of 0.5 means the model is performing no better than random guessing and has no discriminative ability between the classes.
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