[Fixed]-"importerror: cannot import name 'plot_confusion_matrix' from 'sklearn.metrics' (/usr/local/lib/python3.10/dist-packages/sklearn/metrics/__init__.py)"

Error: ImportError: cannot import name 'plot_confusion_matrix' from 'sklearn.metrics'

Solution:

1. 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.
2. Check if you're using the correct import statement for the plot_confusion_matrix function. It should be imported from sklearn.metrics. Make sure your import statement looks like this: from sklearn.metrics import plot_confusion_matrix.
3. 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.
4. 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.
5. 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.
6. 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.
7. 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.
8. 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:

pip install --upgrade scikit-learn