您可以对测试集应用已训练的模型，生成真标签和预测标签的列表，然后使用scikit-learn中的得分度量。

• https://scikit-learn.org/stable/modules/generated/sklearn.metrics.precision_score.html#sklearn.metrics.precision_score
• https://scikit-learn.org/stable/modules/generated/sklearn.metrics.recall_score.html#sklearn.metrics.recall_score
• https://scikit-learn.org/stable/auto_examples/model_selection/plot_precision_recall.html

例如，对于二元分类问题：

from sklearn.metrics import precision_score

# I assume y_true are the list of true labels of the test set
# I assume y_pred are the predictions of the model
precision = precision_score(y_true, y_pred)
recall = recall_score(y_true, y_pred)