Algorithm · OpenAI · Medium
Task You are exploring a binary-classification dataset to assess model quality, locate samples that may have incorrect labels, and plan a data-cleaning process. The input consists of aligned arrays: y_true, containing the actual binary labels, and y_prob, containing the model's predicted probability for class 1. An optional group_id or source field may also be supplied. 1. Compute classification metrics Compute Accuracy, Precision, Recall, F1, and ROC-AUC when predicted…
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