Machine Learning, Data Science, Python, Statistics, Evaluation Metric.
xticklabels=["Predicted 0", "Predicted 1"], yticklabels=["Actual 0", "Actual 1"]) plt.xlabel("Predicted") plt.ylabel("Actual") plt.show() Use Case: Consider a spam classifier. The confusion matrix helps you comprehend how many spams were correctly identified and how many non-spams were falsely