AI Dose
0
Likes
0
Saves
Back to updates

[r/ML] [D] Training a classifier entirely in SQL (no iterative optimization)

Impact: 6/10
Swipe left/right

Summary

A new lightweight linear classifier, SEFR, has been implemented entirely in SQL (Google BigQuery), offering a fully parallelizable approach without iterative optimization. Benchmarked against Logistic Regression on a fraud detection dataset, SEFR achieved an AUC of 0.954, slightly lower than Logistic Regression's 0.986. However, SEFR demonstrated a significant speed advantage, being approximately 18 times faster.

Continue Reading

Explore related coverage about community news and adjacent AI developments: [r/ML] [D] MYTHOS-INVERSION STRUCTURAL AUDIT, [r/LocalLLaMA] karpathy / autoresearch, [r/ML] [R] Agentic AI and Occupational Displacement: A Multi-Regional Task Exposure Analysis (236 occupations, 5 US metros), [r/ML] Building behavioural response models of public figures using Brain scan data (Predict their next move using psychological modelling) [P].

Related Articles

Comments

Sign in to leave a comment.

Loading comments...