Metrics, Cross-Validation and Hyper-Parameter Tuning
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In this lesson
A model that is “95% accurate” can be useless. If only 5% of transactions are fraud, a model that always says “not fraud” is 95% accurate and catches nothing. Choosing the right metric is as important as choosing the model.
🎬 The 95% trap
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