What does the F1 Score combine to provide a balanced measure of a model’s accuracy?单项选择题

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A medical AI model is used to detect a disease in 500 patients: 100 patients actually have the disease The model correctly identifies 70 of them It incorrectly identifies 50 healthy patients as having the disease Questions: Calculate the precision of the model. Calculate the recall of the model.

Optimizing a model to maximize precision is best for minimizing false negatives, and optimizing a model to maximize recall is best for minimizing false positives.

In machine learning, in which of these scenarios should a model be biased towards recall over precision?

A business uses a model to predict which customers will purchase a new product (buyers). The model has a high recall but low precision for the prediction of the buyers. What does this imply? Hint: Create your own mock Confusion Matrix on your scratch paper so it has a high recall but a low precision. What values TP, FN, FP, TN cause the recall to be higher than the precision

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