Explanation of import error
The import error message “importerror: cannot import name ‘plot_confusion_matrix’ from ‘sklearn.metrics'” is indicating that the function ‘plot_confusion_matrix’ could not be imported from the ‘sklearn.metrics’ module.
This usually occurs when the function you are trying to import is not available in the specific version of scikit-learn (sklearn) library that you have installed.
Solution and Example
To resolve this import error, you need to make sure that you have the correct version of scikit-learn installed, which includes the ‘plot_confusion_matrix’ function.
The ‘plot_confusion_matrix’ function was introduced in scikit-learn version 0.22. If you are using an older version, you will need to update your scikit-learn library.
Here is an example of how to use the ‘plot_confusion_matrix’ function:
<pre><code>from sklearn.metrics import plot_confusion_matrix
from sklearn.model_selection import train_test_split
from sklearn.datasets import load_iris
from sklearn.svm import SVC
import matplotlib.pyplot as plt
# Load iris dataset
data = load_iris()
X = data.data
y = data.target
# Split dataset into train and test sets
X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=42)
# Create SVM classifier
classifier = SVC()
# Fit the classifier on the training data
classifier.fit(X_train, y_train)
# Predict the labels for test set
y_pred = classifier.predict(X_test)
# Plot the confusion matrix
plot_confusion_matrix(classifier, X_test, y_test)
plt.show()
</code></pre>In this example, we first import the necessary libraries and functions. Then, we load the iris dataset and split it into train and test sets. We create a support vector machine (SVM) classifier and fit it on the training data.
After predicting the labels for the test set, we use the ‘plot_confusion_matrix’ function to plot the confusion matrix. Finally, we display the plot using ‘plt.show()’.
Make sure to update your scikit-learn library to version 0.22 or later to be able to import and use the ‘plot_confusion_matrix’ function.