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3 cards from this section. Quick, good the night before a test.
What does ROC stand for?
Think about the name of the curve.
What does the AUC represent?
Consider it as the area under a graph.
What is the ROC Curve used for?
Remember what ROC stands for.
True or False: An AUC of 1 means a model is performing poorly.
Consider what AUC measures.
You have two models with ROC Curves. Model A has an AUC of 0.9 and Model B has 0.7. You are tasked to present these findings. Discuss your recommendation.
Focus on the AUC values while comparing models.
Using a dataset, properly plot the ROC Curve and calculate the AUC. Analyze the curve and discuss how you would approach adjusting model thresholds.
Think about how adjustments in the classification cut-off influence model performance.
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