In data science and machine learning, evaluating the performance of a model is just as essential as building it. While accuracy might seem like a straightforward metric, it often fails to provide a complete picture of a model’s performance, especially in classification tasks. This is where the confusion matrix becomes a powerful tool. Whether you…
What is a Confusion Matrix and Why It Matters
