"ImportError: cannot import name 'plot_confusion_matrix' from 'sklearn.metrics'"
PIP:
Error: ImportError: cannot import name 'plot_confusion_matrix' from 'sklearn.metrics'
Solution:
- Ensure that you have the latest version of scikit-learn (sklearn) installed. You can upgrade scikit-learn using pip by running
pip install --upgrade scikit-learn
in your terminal. - Check if you're using the correct import statement for the
plot_confusion_matrix
function. It should be imported fromsklearn.metrics
. Make sure your import statement looks like this:from sklearn.metrics import plot_confusion_matrix
. - Verify that your scikit-learn version supports the
plot_confusion_matrix
function. This function was introduced in scikit-learn version 0.22. If you're using an older version, you may encounter this error. Upgrade to a newer version if necessary. - If you're still encountering the error after upgrading scikit-learn, check if there are any typos or syntax errors in your import statement or code where you're using the
plot_confusion_matrix
function. - Make sure that scikit-learn is installed in the same environment where you're running your Python code. If you're using virtual environments, ensure that scikit-learn is installed in the correct environment.
- If you're using Jupyter Notebook or any other interactive environment, try restarting the kernel and re-running your code to see if the error persists.
- Check the documentation and release notes of scikit-learn for any changes or updates related to the
plot_confusion_matrix
function. There might be specific requirements or dependencies needed to use this function. - If you're still unable to resolve the issue, consider seeking help from the scikit-learn community forums or GitHub repository. Someone might be able to provide insights or assistance based on your specific use case.
Example:
from sklearn.metrics import plot_confusion_matrix
from sklearn.datasets import load_iris
from sklearn.model_selection import train_test_split
from sklearn.svm import SVC
# Load the Iris dataset
iris = load_iris()
X_train, X_test, y_train, y_test = train_test_split(iris.data, iris.target, random_state=42)
# Train a Support Vector Machine (SVM) classifier
classifier = SVC(kernel='linear', random_state=42)
classifier.fit(X_train, y_train)
# Plot confusion matrix
plot_confusion_matrix(classifier, X_test, y_test)
The plot_confusion_matrix
function was added in version 0.22 of scikit-learn. If you're seeing this error, it most likely means you have an old version of scikit-learn installed.
To fix this issue, upgrade scikit-learn by running:
pip install --upgrade scikit-learn
Most likely, your version of scikit-learn is outdated. The sklearn.metrics.ConfusionMatrixDisplay
was added in scikit-learn version 1.0.0 or later.
You can check your scikit-learn version with the following command:
python3 -m pip show scikit-learn
Please update scikit-learn using one of the following commands:
- Anaconda:
conda update -c conda-forge scikit-learn
pip install --upgrade scikit-learn
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