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classification-helper

classification-helper

github.com/dkyazzentwatwaData & databases12454 installsUpdated 29w ago
Repository

About classification-helper

classification-helper is a command-line skill for training and evaluating classification models. It compares classifiers, tunes hyperparameters, and can export trained models.

Key features

  1. 01Compare classification models
  2. 02Tune hyperparameters
  3. 03Evaluate with multiple metrics
  4. 04Run K-fold validation
  5. 05Inspect confusion matrix and feature importance
  6. 06Export trained models

Use cases

  1. 01Compare classifiers on a training dataset
  2. 02Tune model parameters with grid or random search
  3. 03Review classification errors and predictive features

Install

Copy the command and run it in a terminal.

$npx skills add https://github.com/dkyazzentwatwa/chatgpt-skills --skill classification-helper

After installing, type/classification-helperin Claude Code to confirm it loaded.

Bundled filesscripts/classification_helper.pyscripts/requirements.txt

Details

From the project README

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

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

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