precision_recall_curve函数使用一个输入变量,通常是y_true和y_pred变量。 y_true变量包含未标记的实际结果,而y_pred变量包含模型预测的结果。当此函数被调用时,会将precision_recall_curve绘制在另一个变量上,该变量通常是thresholds变量,其中可以查看不同阈值下模型的表现情况。 这个函数还会返回另外两个变量,即preci...
i =5precision_ts, recall_ts, thresholds_ts =precision_recall_curve(targets_ts[:,i], scores_ts[:,i], pos_label=1) precision_tr, recall_tr, thresholds =precision_recall_curve(targets_tr[:,i], scores_tr[:,i], pos_label=1) area_ts = auc(recall_ts, precision_ts) area_tr = auc(...
zeros(N, dtype=int) idx = (ground_truths == class_label) ground_truth_label[idx] = 1 # Extract positive scores prediction_score = prediction_scores[:, class_label] # Compute ROC curve precision, recall, threshold = precision_recall_curve(ground_truth_label, prediction_score) avg_precision ...