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Jev vs classical ML: results from 8 classification datasets

I tested Jev in zero-shot and few-shot settings against 11 classical ML models, including SVM, XGBoost and logistic regression. Scores in the screenshot are balanced accuracy. This mostly went as I expected. If I already have labelled data, I’d start by training a classical model. They were more ac…

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  1. 2026-09-20 09:23 · r/learnmachinelearning
    Jev vs classical ML: results from 8 classification datasets

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