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25 lines
1.9 KiB
25 lines
1.9 KiB
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# Parameter Play
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## Instructions
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There are many parameters that are set by default when working with these classifiers. Intellisense in VS Code can help you explore them. Choose one of the ML Classification Techniques covered in this lesson and retrain models by adjusting various parameter values. Create a notebook that explains why certain changes improve the model's quality while others worsen it. Provide a detailed explanation in your response.
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## Rubric
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| Criteria | Outstanding | Satisfactory | Needs Improvement |
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| -------- | --------------------------------------------------------------------------------------------------------------------- | ---------------------------------------------------- | ----------------------------- |
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| | A notebook is provided with a fully developed classifier, its parameters adjusted, and changes explained in textboxes | A notebook is partially provided or poorly explained | A notebook contains errors or issues |
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---
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**Disclaimer**:
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This document has been translated using the AI translation service [Co-op Translator](https://github.com/Azure/co-op-translator). While we strive for accuracy, please note that automated translations may contain errors or inaccuracies. The original document in its native language should be regarded as the authoritative source. For critical information, professional human translation is recommended. We are not responsible for any misunderstandings or misinterpretations resulting from the use of this translation. |