Can it optimize my existing model code?

Yes, the skill includes hyperparameter tuning capabilities and best-practice suggestions to refine and improve the performance of classification models.

Which performance metrics are reported?

The skill generates detailed reports including accuracy, precision, recall, and F1-scores to give you a comprehensive view of model performance.

What types of classification tasks can this skill handle?

It can handle any supervised learning task involving labeled data, such as binary or multi-class classification for spam detection, sentiment analysis, or churn prediction.

Do I need to provide pre-processed data?

No, the skill automates data cleaning and feature extraction, though providing high-quality raw data typically yields better results.

How does it integrate with my existing project?

The skill utilizes the classification-model-builder plugin to generate executable Python code that follows industry-standard data science patterns.

Classification Model Builder

Name: Classification Model Builder
Author: jeremylongshore

byjeremylongshore

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884

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Data Science & ML

Automates the end-to-end creation, training, and evaluation of machine learning classification models within Claude Code.

This skill empowers developers and data scientists to rapidly prototype and deploy supervised learning models by automating complex tasks like data preprocessing, feature selection, and hyperparameter tuning. By integrating directly with Claude Code, it streamlines the machine learning workflow, providing detailed performance metrics—such as accuracy, precision, and F1-score—to ensure models are robust and ready for production environments. It is particularly useful for tasks involving categorical outcomes like churn prediction, spam detection, and lead scoring.

Key Features

01Intelligent model selection based on dataset characteristics

02884 GitHub stars

03Automated data preprocessing and feature engineering

04Automatic hyperparameter tuning for optimized performance

05Comprehensive reporting with metrics like F1-score and precision

06Seamless integration with Python-based data science workflows

Use Cases

01Developing spam detection systems for email or messaging applications

02Predicting customer churn to improve business retention strategies

03Categorizing large datasets based on custom labeled attributes

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add jeremylongshore/claude-code-plugins-plus-skills skill-adapter

For use in Claude.ai and ChatGPT

Download Skill