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Quiz 3.1.1
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What is a "random seed"?
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How can you avoid overfitting? (Check all that apply)
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Split your dataset into separate test and train datasets
Rerun your algorithm multiple different times with different random seeds
Run your algorithm once with the best seed
Find the best combination of parameters that fits your data perfectly
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