11. True or False: For predictive data analysis and prescriptive data analysis, reducing false positives is important for accurate insights, so the use of machine learning, reinforcement learning, and model training is frequent.
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11. True or False: For predictive data analysis and prescriptive data analysis, reducing false positives is important for accurate insights, so the use of machine learning, reinforcement learning, and model training is frequent.
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