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because a model can be very useful in proving infromation when you can't actually obsever an object or process directly.

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12y ago
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Q: Why is information often missing a model?
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Does some information about an object or process may be missing from a model?

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Models may have missing information either because the data collection process was incomplete or due to variables that were not available at the time of data gathering. It is important to address missing data to prevent biases in the model and improve its accuracy and reliability. Techniques like imputation or using algorithms that can handle missing data, such as tree-based models, can help mitigate the impact of missing information on the model's performance.


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Britain's Missing Top Model was created on 2008-07-01.


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Is some information about an object or process may be missing from a model?

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