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Imbalanced Datasets: When Most of Your Data is ‘Normal’ | Solving the Hidden Bias in ML
Ever trained a machine learning model that seemed amazing—scoring 99% accuracy… only to realize it missed every single critical case? That’s the trap of imbalanced datasets, where one class (the “normal” one) dominates, and the rare classes (like fraud, rare diseases, or anomalies) are buried under the majority. In this video, we ...
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