Tutorial 85 Working With Imbalanced Data During Machine Learning Training

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Last Updated: September 28, 2026

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Thanks for watching my video. Some other videos I published: Python PySpark Big Credit card fraud detection, cancer prediction, customer churn prediction are some of the examples where you might get an ... A 99% accuracy rate is deceptive if your model misses critical fraud cases or rare diagnoses due to severe class Learn evaluation, resampling, weighting, and thresholding strategies for rare-event classification problems. Discover the truth behind SMOTE and its effectiveness Should we under-sample before or after splitting the Support me: Patreon: patreon.com/avecoder Paypal: paypal.me/avecoder Donation: ...

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