Beginner · Evaluation
Golden dataset
Visual diagram · (in preparation) · Math · (in preparation) · Worked example · 3 difficulty levels.
TL;DR. A curated dataset representing the ground truth, used to evaluate the performance and accuracy of machine learning models.
Technical Definition
A curated dataset representing the ground truth, used to evaluate the performance and accuracy of machine learning models.
How it works
A golden dataset is a high-quality, manually verified collection of data that serves as the benchmark for evaluating ML models. It represents the 'ground truth,' meaning it contains correct answers or labels for specific tasks. By comparing a model's predictions against a golden dataset, developers can accurately assess its performance and identify areas for improvement.
Related Concepts
- Accuracy — The fraction of predictions a model gets correct on a labeled dataset.
- Benchmark — A standardized dataset and evaluation protocol used to compare models.
- Evaluation — The process of measuring a model's quality or comparing different models.
- Ground truth — The actual reality or outcome of a situation, used to assess model performance.