Confusion Matrix Explained Simply | Accuracy, Precision, Recall & F1 Score
Description
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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