Classification
2 articles
Logistic regression beats LLM readouts on survey prediction
On a real survey prediction task, a plain logistic regression beat a language-model activation pipeline, AUC 0.769 vs 0.747; steering changed nothing useful.
How to Build a Classifier When 94% Accuracy Means Nothing
A scikit-learn workflow for imbalanced classification, where 94% accuracy can mean nothing, and the evaluation metrics that actually matter for rare classes.