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What does Precision measure in a classification scenario?
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What does False Alarm Rate (False Positive Rate) measure in a classification scenario?
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Describe the concept of "garbage in, garbage out" (GIGO) in relation to data quality.
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Why is it important to understand the business problem thoroughly before starting a data science project?
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What are some potential pitfalls to avoid in the data analytics lifecycle?
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What is the purpose of the evaluation phase in the CRISP-DM methodology?
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How does the concept of "interpretability" relate to model trustworthiness?
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