The error message “importerror: cannot import name ‘plot_confusion_matrix’ from ‘sklearn.metrics'” occurs when trying to import the function ‘plot_confusion_matrix’ from the ‘sklearn.metrics’ module, but it is not available in the version of scikit-learn being used.
The ‘plot_confusion_matrix’ function was introduced in scikit-learn version 0.22, so if you are using an earlier version of scikit-learn, this function will not be available.
To resolve this issue, you have a few options:
-
Update scikit-learn: Upgrade your scikit-learn installation to a version that includes the ‘plot_confusion_matrix’ function. You can do this by running the following command in your terminal:
pip install --upgrade scikit-learn
-
Use an alternative method: If you are unable to upgrade scikit-learn, you can use alternative methods to visualize confusion matrices. One option is to use the ‘confusion_matrix’ function from ‘sklearn.metrics’ and then visualize the matrix using a library such as ‘matplotlib’. Here’s an example:
import matplotlib.pyplot as plt import numpy as np from sklearn.metrics import confusion_matrix # Example labels and predictions y_true = np.array([0, 1, 0, 1, 1]) y_pred = np.array([0, 0, 1, 1, 1]) # Compute confusion matrix cm = confusion_matrix(y_true, y_pred) # Visualize confusion matrix fig, ax = plt.subplots() im = ax.imshow(cm, interpolation='nearest', cmap=plt.cm.Blues) ax.figure.colorbar(im, ax=ax) ax.set(xticks=np.arange(cm.shape[1]), yticks=np.arange(cm.shape[0]), xlabel='Predicted label', ylabel='True label', title='Confusion Matrix') plt.show()
By following these steps, you should be able to resolve the import error and either update scikit-learn or use an alternative method to visualize confusion matrices.