td-regression-evaluator

Official

Evaluate regression models with precision.

Authorteradata-labs
Version1.0.0
Installs0

System Documentation

What problem does it solve?

This Skill provides a comprehensive suite for evaluating regression models, automating the process of calculating key metrics and analyzing model performance to ensure accuracy and reliability.

Core Features & Use Cases

  • Automated Metric Calculation: Leverages TD_RegressionEvaluator to compute R², RMSE, MAE, MSE, and MAPE.
  • Data Quality Checks: Includes pre-evaluation checks for completeness, duplicates, and outliers.
  • Diagnostic Analysis: Offers detailed residual analysis and error pattern identification.
  • Use Case: After training a customer churn prediction model, use this Skill to evaluate its performance on a test dataset, identify areas of weakness, and compare it against baseline models.

Quick Start

Evaluate the regression model using the table 'my_predictions' with actual values in 'actual_sales' and predicted values in 'predicted_sales'.

Dependency Matrix

Required Modules

None required

Components

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-regression-evaluator
Download link: https://github.com/teradata-labs/claude-cookbooks/archive/main.zip#td-regression-evaluator

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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