Data Accuracy
Data Accuracy refers to the degree to which data correctly represents the real-world object or event it is intended to measure. It is a measure of how close the data values are to the true values. In other words, data accuracy is the extent to which data is free from errors, omissions, or other defects. Data accuracy is crucial in data science because inaccurate data can lead to incorrect conclusions and decisions. Data accuracy can be improved by using various techniques such as data cleaning, data validation, and data verification.
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