What are the key performance metrics for AI systems?
An example of an AI chatbot conversation about AI system performance metrics and recall.
What are the key performance metrics for AI systems?
The key performance metrics for AI systems include accuracy, precision, recall, F1 score, and AUC-ROC.
Can you explain recall in more detail?
Recall measures the ability of a model to find all relevant instances. It's the ratio of true positives to the sum of true positives and false negatives.
Why is recall important in AI applications?
Recall is crucial in applications where missing a positive instance is costly, such as in medical diagnoses or fraud detection.
How can I improve the recall of my AI model?
You can improve recall by adjusting the classification threshold, using more relevant features, or employing techniques like oversampling.
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