The Overfitting Detector for Regression Models is an interactive tool designed to help users identify overfitting or underfitting in regression models by comparing training and testing performance metrics (e.g., R² or MSE). With a vibrant, modern interface, this tool provides a visual comparison and diagnostic message, making it ideal for model evaluation and educational purposes.

Key Features

• • Flexible Input: Enter training and testing scores, and select the metric type (R² or MSE).

• • Interactive Bar Chart: Visualizes training vs. testing performance with distinct colors for easy comparison.

• • Overfitting Diagnosis: Analyzes the performance gap and provides a clear diagnosis (e.g., “Potential Overfitting Detected”).

• • PDF Export: Download the chart and diagnosis as a fully functional PDF.

• • Stylish Design: Features a gradient background, smooth transitions, and a responsive layout contained within its own block.

Use Cases

• • Model Evaluation: Data scientists can quickly assess regression models for signs of overfitting or underfitting.

• • Educational Tool: Teach students about the concepts of overfitting and underfitting with a hands-on tool.

• • Research and Reporting: Generate visual diagnostics for presentations or technical reports.

• • Web Enhancement: Add an engaging, interactive tool to your WordPress site for user interaction.

How It Works

1. 1. Input Scores: Enter the training and testing scores (e.g., 0.95 for training, 0.85 for testing) and select the metric type (R² or MSE).

1. 1. Detect: Click the “Detect Overfitting” button to analyze the performance gap and generate the chart.

1. 1. Visualize: The tool renders a bar chart comparing training and testing scores, with a diagnosis message below (e.g., “Potential Overfitting Detected”).

1. Download: Use the “Download as PDF” button to save the chart and diagnosis for reports or sharing.