Machine Learning – Confusion Matrix

Example Code

Let’s consider an example of how to use confusion matrix in Python. We will use the scikit-learn library to create a confusion matrix.

from sklearn.metrics import confusion_matrix

# Actual Values
y_true = [1, 0, 0, 1, 1, 0, 1]

# Predicted Values
y_pred = [1, 0, 1, 1, 0, 0, 1]

# Create a confusion matrix
confusion_matrix(y_true, y_pred)

Output :

array([[2, 1],
       [1, 3]])

The output shows a 2×2 confusion matrix with 2 true positives, 1 false positive, 1 false negative, and 3 true negatives.