evaluate-model

What problem does it solve?

This Skill provides a standardized way to measure the performance of machine learning models, ensuring objective assessment of their effectiveness.

Core Features & Use Cases

• Performance Measurement: Calculates key metrics like accuracy, precision, recall, MSE, and MAE.
• Comparative Analysis: Enables comparison between different model architectures or training runs.
• Overfitting Detection: Helps identify if a model is performing poorly on unseen data.
• Use Case: After training a new image classification model, use this Skill to evaluate its accuracy and precision on a held-out test set to determine if it meets project requirements.

Quick Start

Use the evaluate-model skill to assess the classification performance of the model using the provided predictions and ground truth data.