classification-helper
Quick classifier training with automatic model selection, hyperparameter tuning, and comprehensive evaluation metrics.
npx skills add majiayu000/claude-skill-registry --skill classification-helper-dkyazzentwatwa-chatgpt-skills --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Classification Helper Train and evaluate classification models with automatic model selection. ## Features - **Auto Model Selection**: Compare multiple classifiers - **Hyperparameter Tuning**: Grid/random search - **Evaluation Metrics**: Accuracy, precision, recall, F1, ROC-AUC - **Cross-Validation**: K-fold validation - **Confusion Matrix**: Detailed error analysis - **Feature Importance**: Top predictive features - **Model Export**: Save trained models ## CLI Usage ```bash python classification_helper.py --data train.csv --target class --test test.csv --output model.pkl ``` ## Dependencies - scikit-learn>=1.3.0 - pandas>=2.0.0 - numpy>=1.24.0 - matplotlib>=3.7.0 - seaborn>=0.12.0
- Features
- CLI Usage
- Dependencies
python classification_helper.py --data train.csv --target class --test test.csv --output model.pkl
What does the classification-helper skill do?
Quick classifier training with automatic model selection, hyperparameter tuning, and comprehensive evaluation metrics.
How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill classification-helper-dkyazzentwatwa-chatgpt-skills --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.