mAP¶
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Python
from sklearn.metrics import roc_auc_score, average_precision_score
y_true = [0, 0, 1, 1]
y_scores = [0.1, 0.4, 0.35, 0.8]
roc_auc = roc_auc_score(y_true, y_scores)
pr_auc = average_precision_score(y_true, y_scores)
print("ROC-AUC:", roc_auc) # 输出：0.75
print("PR-AUC (AP):", pr_auc) # 输出：0.83...
