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  3. Evaluate Models to Ensure They Are High-Performing

Evaluate Models to Ensure They Are High-Performing

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Learn how to evaluate and validate models in Fiddler before deploying them into production.

Confusion matrix and evaluation metrics screen displaying the precision, recall, accuracy, F1 score, and other metrics used to evaluate the performance of a machine learning model, with thresholds adjusted to ensure the model's high performance for video titled 'Evaluate Models to Ensure They Are High-Performing.'
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