This function prints and plots the confusion matrix. Normalization can be applied by setting `normalize=True`.

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混淆矩阵（Confusion Matrix）是机器学习中评估分类模型性能的重要工具。通过混淆矩阵，可以直观地了解模型在各个类别上的表现，包括正确分类和错误分类的样本数量。 基于混淆矩阵，我们可以计算准确率、精确率、召回率、F1分数以及真正率和假正率等多个 ...

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