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3 cards from this section. Quick, good the night before a test.
What is accuracy in the context of AI evaluations?
Think about total predictions against correct one.
Define precision.
Focus on how precise the positive predictions are.
What does accuracy measure in an AI model?
It relates to the total number of predictions made.
True or False: The F1 Score is a metric that combines precision and recall.
Think about the relationship between precision and recall.
A healthcare AI predicts disease presence. Given the following results: True Positives = 80, False Positives = 20, True Negatives = 150, False Negatives = 10. Calculate the model's accuracy, precision, recall, and F1 Score.
Use formulas for metrics while calculating.
A model has high accuracy (95%) but a very low recall (25%). Discuss the potential risks of deploying such a model in a security system that detects intrusions.
Think about the security implications of missing potential intrusions.
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