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posted on 5 Jun 2024
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posted on 29 May 2024
I was interviewed in Apr 2024.
KPIs for unbalanced datasets include precision, recall, F1 score, ROC AUC, and confusion matrix.
Precision: measures the proportion of true positive predictions among all positive predictions
Recall: measures the proportion of true positive predictions among all actual positive instances
F1 score: balances precision and recall into a single metric
ROC AUC: measures the area under the receiver operating characteristic curve
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