How do I calculate AUC-ROC?
An example of an AI chatbot conversation about calculating AUC-ROC for model evaluation.
How do I calculate AUC-ROC?
To calculate AUC-ROC, you first need to compute the true positive rate and false positive rate at various threshold settings.
What are true positive rate and false positive rate?
The true positive rate (TPR) is the ratio of correctly predicted positive observations to all actual positives. The false positive rate (FPR) is the ratio of incorrectly predicted positive observations to all actual negatives.
How do I plot the ROC curve?
You can plot the ROC curve by plotting the TPR against the FPR at different threshold values. Libraries like Matplotlib in Python can help with this.
Can you show me an example in Python?
Sure! You can use the sklearn library to calculate AUC-ROC and plot the curve. Would you like a code snippet?
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