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Tiny fix (#3)
Browse files- Tiny fix (ef119c1e2c09204be94e8600049d049cf4245fbb)
Co-authored-by: Julien Chaumond <julien-c@users.noreply.huggingface.co>
README.md
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It has three types of evaluations:
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- **Metric**: measures the performance of a model on a given dataset, usually by comparing the model's predictions to some ground truth labels -- these are covered in this space.
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- **Comparison**: used
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- **Measurement**: for gaining more insights on datasets and model predictions based on their properties and characteristics -- covered in the [Evaluate Measurement](https://huggingface.co/evaluate-measurement) Spaces.
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All three types of evaluation supported by the 🤗 Evaluate library are meant to be mutually complementary, and help our community carry out more mindful and responsible evaluation!
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It has three types of evaluations:
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- **Metric**: measures the performance of a model on a given dataset, usually by comparing the model's predictions to some ground truth labels -- these are covered in this space.
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- **Comparison**: used to compare the performance of two or more models on a single test dataset., e.g. by comparing their predictions to ground truth labels and computing their agreement -- covered in the [Evaluate Comparison](https://huggingface.co/spaces/evaluate-comparison) Spaces.
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- **Measurement**: for gaining more insights on datasets and model predictions based on their properties and characteristics -- covered in the [Evaluate Measurement](https://huggingface.co/evaluate-measurement) Spaces.
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All three types of evaluation supported by the 🤗 Evaluate library are meant to be mutually complementary, and help our community carry out more mindful and responsible evaluation!
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