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dev-weka

Convert Weka ARFF data files to CSV format for Python machine learning.

Updated Jan 28, 2026
Search Tags:#data conversion#machine learning data#weka#arff#arff to csv#csv conversion
One-click install
npx skills add https://github.com/zhizhunbao/ai-dev-config --skill dev-weka-zhizhunbao
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: dev-weka
Source: https://github.com/zhizhunbao/ai-dev-config/tree/main/core/skills/dev-weka
Command: npx skills add https://github.com/zhizhunbao/ai-dev-config --skill dev-weka-zhizhunbao

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires scipy, pandas.

What problem does it solve?

This Skill addresses the challenge of working with Weka data files (.arff format) by providing a streamlined process for conversion and data manipulation, making them compatible with Python machine learning workflows.

Core Features & Use Cases

  • ARFF to CSV Conversion: Easily convert Weka's native ARFF files into the widely-used CSV format.
  • Column Name Extraction: Retrieve column headers directly from ARFF files.
  • Data Preparation: Prepare Weka datasets for use in Python ML libraries, including handling categorical data and class labels.
  • Use Case: Convert the diabetes.arff dataset into diabetes.csv for use with scikit-learn.

Quick Start

Use the dev-weka skill to convert the file 'diabetes.arff' to 'diabetes.csv'.

Frequently Asked Questions about dev-weka

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I convert Weka ARFF files to CSV for Python machine learning?▼

To convert Weka ARFF files to CSV, you can parse the ARFF dataset, extract column names, and decode categorical byte strings to produce a compatible CSV format for Python ML libraries.

What is the best way to handle categorical data when converting ARFF to CSV?▼

Handling categorical data during ARFF to CSV conversion involves decoding byte strings and converting class labels to ensure compatibility with Python machine learning frameworks.

Does converting ARFF to CSV extract column names automatically?▼

Yes, converting ARFF to CSV automatically extracts column names directly from the ARFF file headers to prepare the dataset for use in Python environments.

Can I use pandas and scipy to prepare Weka datasets for scikit-learn?▼

Yes, you can use dependencies like pandas and scipy to convert Weka ARFF datasets into CSV format, making them directly usable for scikit-learn machine learning workflows.

Why does my ARFF to CSV conversion fail with categorical class labels?▼

ARFF to CSV conversion may fail with categorical class labels if byte strings are not properly decoded, which this process resolves by converting labels for ML library compatibility.

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