MLScent reports 87.5% agreement, recall 0.875, and F1 0.933 for detecting ML anti-patterns on 72 expert-annotated samples from 7 projects, plus prevalence counts from 43 repositories.
Challenges in using machine learning to support software engineering
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MLScent A tool for Anti-pattern detection in ML projects
MLScent reports 87.5% agreement, recall 0.875, and F1 0.933 for detecting ML anti-patterns on 72 expert-annotated samples from 7 projects, plus prevalence counts from 43 repositories.