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Imbalanced Data Classification: SMOTE, Class Weights, AUPRC & Threshold Tuning
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Last Updated: October 14, 2026
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A model with 98 percent accuracy can be completely useless. In this episode we build ROC (Receiver Operator Characteristic) graphs and AUC (the area under the curve), are useful for consolidating the information ... How do you know whether a computer vision model is actually good? Accuracy alone cannot answer that question. Machine Learning models are great at many tasks. However, one of the biggest challenges is that these models are not Accuracy is one of the simplest The probabilities you get back from your models are ... usually very wrong. How do we fix that? My Patreon ... This precision vs recall example to RichardOnData here: youtube.com/channel/UCKPyg5gsnt6h0aA8EBw3i6A?sub_confirmation=1 In this ... Accuracy can lie when your dataset is imbalanced. In this
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