What evaluation metrics are provided?

The skill provides standard performance metrics including accuracy, precision, recall, and F1-score to help you assess model reliability and performance.

Can I use this for custom datasets?

Absolutely. You can provide your own labeled data, and the skill will analyze the target variables and features to suggest the best model architecture.

Does this skill handle data preprocessing?

Yes, the skill automates data cleaning, feature extraction, and validation before training the model to ensure high-quality inputs.

How does it integrate with Claude Code?

It integrates via the classification-model-builder plugin, allowing Claude to use tools like Bash and Python to generate and run ML code directly in your environment.

What types of classification models can this skill build?

It can build various supervised learning models, including binary and multi-class classifiers for tasks like churn prediction, sentiment analysis, and spam detection.

Classification Model Builder

Name: Classification Model Builder
Author: BbgnsurfTech

byBbgnsurfTech

•

Ciencia de Datos y ML

Builds and evaluates robust supervised learning classification models with automated preprocessing and performance reporting.

Acerca de

This skill automates the end-to-end pipeline for developing classification models within Claude Code, handling everything from initial dataset analysis and feature selection to model training and hyperparameter tuning. It simplifies complex machine learning workflows by generating production-ready code for tasks like spam detection or churn prediction, while providing detailed evaluation metrics such as F1-score and precision to ensure model reliability. Whether you are analyzing customer behavior or identifying anomalies, this skill provides a structured, data-driven approach to supervised learning.

Características Principales

3 GitHub stars
Detailed reporting on model insights and suggested improvements
Automated data preprocessing and feature selection
Generation of executable Python code for training and deployment
Comprehensive performance evaluation with accuracy, precision, and recall metrics
Intelligent model selection and hyperparameter tuning

Casos de Uso

Building a binary classifier for spam detection or fraud prevention
Developing multi-class models to predict customer churn or sentiment analysis
Evaluating existing datasets to determine the best performing ML algorithm

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add bbgnsurftech/claude-skills-collection classification-model-builder

For use in Claude.ai and ChatGPT

Download Skill

GitHub