Dataset Splitter

Split datasets into training, validation, and testing sets with configurable ratios and stratification options.

Overview

This skill automates the process of dividing a dataset into subsets for training, validating, and testing machine learning models. It ensures proper data preparation and facilitates robust model evaluation.

How It Works

1. Analyze Request: The skill analyzes the user's request to determine the dataset to be split and the desired proportions for each subset.
2. Generate Code: Based on the request, the skill generates Python code utilizing standard ML libraries to perform the data splitting.
3. Execute Splitting: The code is executed to split the dataset into training, validation, and testing sets according to the specified ratios.

When to Use This Skill

This skill activates when you need to:

• Prepare a dataset for machine learning model training.
• Create training, validation, and testing sets.
• Partition data to evaluate model performance.