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Hi…. I may have another at least the explanation…
A Machine Learning Specialist is training a binary classification model for a particular business use case. To help the Specialist in choosing the most optimal model, the company has given the following conditions that must be satisfied:
Choose the most cost-effective model given that false negatives are 3 times more expensive than false positives.
Choose the model with a recall rate of 85% or more.
Choose the model with a false negative rate of 15% or less.
The Specialist has generated a confusion matrix for each model for evaluation.
Which of the following confusion matrices meets the business requirements?
Answer is correct…
but the formula for Recall
To correctly answer this problem, we have to know three formula:
Recall = TP / (TP/FN)False Negative Rate = FN / (FN+TP)Should that be Recall = TP / (TP + FN) just checking
