ds-utils-metrics
ds-utils-metrics is a Model training & evaluation skill for AI agents, published by idanmoradarthas in the DataScienceUtils repository on GitHub. Skillspace rates ds-utils-metrics D (58/100) and it passed the safety scan; the rating is based on static analysis only.
Provides evaluation metrics and visualization charts for machine learning models. Use when the user asks to evaluate a model, wants to plot a confusion matrix, ROC curve, or Precision-Recall curve, needs to analyze learning curves, probability distributions, or error analysis in a Python data science project using sklearn-compatible models.
- Grade
- D
- Quality
- 58 / 100
- Safety
- Passed
- GitHub stars
- 37
Unproven: rated by static analysis only, not yet compared head-to-head.
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 70 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- No issues found
- License
- MIT
- Adoption
- Adopted by 0 other repositories, in 0 collections
Not checked yet
- Not judged on the rubric yet (not a contender in its category)
- No blind task eval yet
- Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
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