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In the context of developing a machine learning model for a healthcare application, the team is evaluating the quality of their dataset. One of the key aspects they are considering is 'accuracy'. Given the critical nature of healthcare data, which of the following best describes what 'accuracy' means in this scenario? Choose the best option.
A
The speed at which data can be processed and made available for model training.
B
The degree to which the data correctly represents the real-world conditions it is intended to model, free from errors and inconsistencies.
C
The variety of data sources from which the dataset is compiled, ensuring a broad perspective.
D
The method by which data is encrypted and stored, ensuring patient confidentiality.