Welcome to this easy-to-follow breakdown of the Confusion Matrix; no fluff, just clarity.

In this video, I (Tolulope Awoyomi) walk you through:

- What a Confusion Matrix really is

- How to draw and label one from scratch

- The meaning of True Positive, True Negative, False Positive, and False Negative

- A relatable real-world example: Spam Email Classifier

- And how to calculate evaluation metrics: Accuracy, Precision, Recall, and F1 Score

Perhaps you’re preparing for a machine learning interview or just brushing up on model evaluation, this is for you.

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