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

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데이터 과학 및 ML

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

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.

주요 기능

013 GitHub stars

02Detailed reporting on model insights and suggested improvements

03Automated data preprocessing and feature selection

04Generation of executable Python code for training and deployment

05Comprehensive performance evaluation with accuracy, precision, and recall metrics

06Intelligent model selection and hyperparameter tuning

사용 사례

01Building a binary classifier for spam detection or fraud prevention

02Developing multi-class models to predict customer churn or sentiment analysis

03Evaluating 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