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12 lines
1.8 KiB
12 lines
1.8 KiB
# Explore classification methods
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## Instructions
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In [Scikit-learn documentation](https://scikit-learn.org/stable/supervised_learning.html) you'll find a large list of ways to classify data. Do a little scavenger hunt in these docs: your goals is to look for classification methods and match a dataset in this curriculum, a question you can ask of it, and a technique of classification. Create a spreadsheet or table in a .doc file and explain how the dataset would work with the classification algorithm.
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## Rubric
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| Criteria | Exemplary | Adequate | Needs Improvement |
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| -------- | ----------------------------------------------------------------------------------------------------------------------------------- | ----------------------------------------------------------------------------------------------------------------------------------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------- |
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| | a document is presented overviewing 5 algorithms alongside a classification technique. The overview is well-explained and detailed. | a document is presented overviewing 3 algorithms alongside a classification technique. The overview is well-explained and detailed. | a document is presented overviewing fewer than three algorithms alongside a classification technique and the overview is neither well-explained nor detailed. |
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