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The evaluation process provides a detailed understanding of your model’s performance and areas for improvement. By interpreting the intent accuracy and slot classification reports, you can refine your training process and ensure the model meets desired benchmarks for real-world use. This step is also crucial for automated grading and comparison of models across submissions.
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Reflection Questions: |
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Done? Proceed with [TODO]Connecting Your Classifier with the Pipeline. |
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