Why 99.9% Accuracy is a LIE! 🤯

Is high "Accuracy" always a win in Machine Learning? 🤔 Think again! In this video, we dive into the Accuracy Paradox using the "Forest Fire" scenario.

Imagine a model that is 99.9% accurate but misses every single fire letting the forest burn while it takes a victory lap. 📉 We explain why counting isn't the same as understanding importance and why you need to look beyond the numbers.

What you'll learn:

Why Accuracy fails on imbalanced data.

The reality of "lazy" AI models.

Why Precision and Recall are the real heroes.

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Видео Why 99.9% Accuracy is a LIE! 🤯 канала Neural Notebook