### Examples: Confusion Matrix, ROC Curve and Precision-Recall Displays¶

• Using a blood transfusion dataset from OpenML. This is a binary classification problem (target: did individual donate blood?).
• The ROC curve uses either the probabilities or non-thresholded decision values from the estimator. Let's use the logistic regression's decision function for the plot.
• Plot the precision-recall curve using the previously-found y_score.
• Combined plots using previously computed values.