td-train-test-split
OfficialSplit data for robust model validation.
Data & Analytics#machine learning#model validation#teradata#data splitting#train-test split#td_traintestsplit
Authorteradata-labs
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill automates the process of splitting your Teradata data into training and testing sets, which is a crucial step for reliably evaluating machine learning models and preventing overfitting.
Core Features & Use Cases
- Automated Data Splitting: Uses the
TD_TrainTestSplitfunction to divide your dataset. - Stratified Sampling: Ensures that the distribution of your target variable is maintained in both the training and testing sets, which is vital for imbalanced datasets.
- Reproducible Splits: Allows you to set a random seed for consistent results across multiple runs.
- Use Case: Prepare your customer data for a churn prediction model by splitting it into 70% for training and 30% for testing, ensuring the model's performance is evaluated on unseen data.
Quick Start
Use the td-train-test-split skill to split my table named 'customer_data' with a target column 'churn_flag'.
Dependency Matrix
Required Modules
None requiredComponents
scriptsreferences
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: td-train-test-split Download link: https://github.com/teradata-labs/claude-cookbooks/archive/main.zip#td-train-test-split Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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