Clustering is a type of Supervised learning Unsupervised learning Deep learning Reinforcement learning Question 4 Which of the following metric is best suited for applications where false positives and false negatives are both critical (i.e., medical diagnostics)? Precision and recall Accuracy and $F 1$ score Sensitivity and specificity ROC AUC

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Clustering is a type of Supervised learning Unsupervised learning Deep learning Reinforcement learning Question 4 Which of the following metric is best suited for applications where false positives and false negatives are both critical (i.e., medical diagnostics)? Precision and recall Accuracy and

F 1

score Sensitivity and specificity ROC AUC

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