Does this skill handle data cleaning?

Yes, it includes automated preprocessing steps to handle data validation and cleaning, ensuring your features are ready for the training process.

What types of classification models can I build?

You can build various supervised classification models, including binary and multi-class classifiers, tailored to your specific dataset characteristics.

Do I need to provide my own dataset?

Yes, the skill requires a labeled dataset or clear data specifications to perform model training, validation, and evaluation effectively.

What metrics are included in the performance report?

The skill automatically generates reports featuring key metrics such as accuracy, precision, recall, and F1-score to provide a detailed view of model performance.

Can I tune hyperparameters with this skill?

Absolutely. The skill leverages the classification-model-builder plugin to automate hyperparameter tuning for the best possible model performance.

Classification Model Builder

Name: Classification Model Builder
Author: jeremylongshore

byjeremylongshore

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884

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データサイエンスとML

Automates the end-to-end creation, training, and evaluation of supervised classification models from labeled datasets.

The Classification Model Builder skill streamlines the machine learning lifecycle by allowing Claude to generate production-ready classification code. It handles complex tasks such as data preprocessing, feature selection, and hyperparameter tuning while ensuring best practices like data validation and comprehensive performance reporting—including accuracy, precision, and F1-score—are followed. This skill is ideal for developers and data scientists looking to quickly prototype or deploy robust classifiers for tasks like spam detection, customer churn prediction, or sentiment analysis.

主な機能

01Intelligent model selection and hyperparameter optimization

02Automated data preprocessing and feature selection

03Standardized data validation and error handling

04884 GitHub stars

05Seamless integration with Python-based data science workflows

06Comprehensive performance reporting with precision, recall, and F1-score

ユースケース

01Building email spam filters using text-based datasets

02Developing diagnostic classification tools from labeled clinical data

03Predicting customer churn using historical behavior data

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add jeremylongshore/claude-code-plugins-plus-skills classification-model-builder

For use in Claude.ai and ChatGPT

Download Skill

主な機能

01Intelligent model selection and hyperparameter optimization

02Automated data preprocessing and feature selection

03Standardized data validation and error handling

04884 GitHub stars

05Seamless integration with Python-based data science workflows

06Comprehensive performance reporting with precision, recall, and F1-score

ユースケース

01Building email spam filters using text-based datasets

02Developing diagnostic classification tools from labeled clinical data

03Predicting customer churn using historical behavior data

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add jeremylongshore/claude-code-plugins-plus-skills classification-model-builder

For use in Claude.ai and ChatGPT

Download Skill