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This is a brief conceptual note rather than a tutorial or evaluation. The author does not supply code, datasets, measured learning benefits, or actual comparisons with CatBoost or LightGBM.
Articles & threads
Using Jev to convert conversational learning signals into tabular features
A short concept thread proposes converting learner and model language into numerical features using Jev, then fitting a tabular model to learner outcomes.
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: Using Jev to convert conversational learning signals into tabular features
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