from sklearn.metrics import plot_confusion_matrix下飘红
时间: 2024-05-23 12:13:55 浏览: 14
这种情况通常是因为你没有安装或导入正确的依赖项。`plot_confusion_matrix`是`sklearn.metrics`库中的一个函数,可能是你没有正确导入该库或者没有安装该库。你可以先尝试在代码前面加上`import sklearn`或`from sklearn import metrics`来导入该库,如果还不行,可能需要使用pip或conda等包管理器来安装sklearn库。
相关问题
sklearn.metrics中的plot_confusion_matrix用法示例
可以使用以下代码示例来使用sklearn.metrics中的plot_confusion_matrix函数:
```python
from sklearn.metrics import plot_confusion_matrix
from sklearn.datasets import make_classification
from sklearn.model_selection import train_test_split
from sklearn.svm import SVC
# 生成一个分类数据集
X, y = make_classification(random_state=0)
# 将数据集分为训练集和测试集
X_train, X_test, y_train, y_test = train_test_split(X, y, random_state=0)
# 训练一个SVM分类器
clf = SVC(random_state=0)
clf.fit(X_train, y_train)
# 使用plot_confusion_matrix函数绘制混淆矩阵
plot_confusion_matrix(clf, X_test, y_test)
```
这将绘制出测试集上的混淆矩阵,显示分类器的性能。
cannot import name plot_confusion_matrix from sklearn.metrics
The error "cannot import name plot_confusion_matrix from sklearn.metrics" usually occurs when the version of scikit-learn you are using is outdated and does not support the plot_confusion_matrix function. This function was introduced in version 0.22, so you need to make sure you are using at least that version.
You can check the version of scikit-learn you are using with the following code:
```
import sklearn
print(sklearn.__version__)
```
If your version is lower than 0.22, you can upgrade it by running the following command in your terminal:
```
pip install --upgrade scikit-learn
```
Once you have upgraded scikit-learn, you should be able to import the plot_confusion_matrix function without any issues.
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