How does data quality affect prediction accuracy?
Data quality is crucial for prediction accuracy because poor quality data can lead to misleading results.
Can you give me examples of poor data quality?
Sure! Examples include missing values, incorrect data entries, and outdated information.
What are the consequences of using low-quality data?
Using low-quality data can result in inaccurate predictions, which can lead to poor decision-making.
How can I improve data quality for better predictions?
You can improve data quality by implementing data validation processes, regular audits, and using reliable data sources.
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