Which metric can you use to evaluate a classification model?
Microsoft AI-900 Exam
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Question 64
Which metric can you use to evaluate a classification model?
What does a good model look like? An ROC curve that approaches the top left corner with 100% true positive rate and 0% false positive rate will be the best model. A random model would display as a flat line from the bottom left to the top right corner. Worse than random would dip below the y=x line. Reference: https://docs.microsoft.com/en-us/azure/machine-learning/how-to-understand-automated-ml#classification
