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To: Paladin2

“Let Dominion be righteously smote.”

Saw what you did there 👍

RUS GRU-Serb Team (and Komarov/D Perovich) associated Alexander Lazarevic’s SMOTE-B algorithm -

https://www.semanticscholar.org/paper/SMOTEBoost%3A-Improving-Prediction-of-the-Minority-in-Chawla-Lazarevic/a02ecdabc0e43b37bd0dac32b6b6916ae7ab60af


18 posted on 08/11/2021 7:53:14 PM PDT by patriotfury ((May the fleas of a thousand camels occupy mo' ham mads tents!) )
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To: patriotfury

Yup

THAT git’s her done:

“Many real world data mining applications involve learning from imbalanced data sets. [...] Key Method Unlike standard boosting where all misclassified examples are given equal weights, SMOTEBoost creates synthetic examples from the rare or minority class, thus indirectly changing the updating weights and compensating for skewed distributions”


20 posted on 08/11/2021 7:58:18 PM PDT by Paladin2 (Critical Marx Theory is The SOLUTION....)
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