May I know how can I use bootstrap_ci to calculate CI for AUC-PR? I used bootstrap_ci to calculate the CI for the Brier score by passing brier_scoreloss in the metric parameter, but AUC-PR is a bit different.
precision1, recall1, = precision_recall_curve(y_true,probabilities)
auc_prec = auc(recall1, precision1).round(4)
May I know how can I use bootstrap_ci to calculate CI for AUC-PR? I used bootstrap_ci to calculate the CI for the Brier score by passing brier_scoreloss in the metric parameter, but AUC-PR is a bit different. precision1, recall1, = precision_recall_curve(y_true,probabilities) auc_prec = auc(recall1, precision1).round(4)