Which of the following statements describes how data scientists refine the model after the initial deployment and feedback stages?1 pointBy collecting more data from controlled groups.By automating the intervention program.By incorporating information about participation and possibly refining with detailed pharmaceutical data.By conducting a complete overhaul of the model.
Question
Which of the following statements describes how data scientists refine the model after the initial deployment and feedback stages?1 pointBy collecting more data from controlled groups.By automating the intervention program.By incorporating information about participation and possibly refining with detailed pharmaceutical data.By conducting a complete overhaul of the model.
Solution
The statement that describes how data scientists refine the model after the initial deployment and feedback stages is: "By incorporating information about participation and possibly refining with detailed pharmaceutical data."
Here's a step-by-step explanation:
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Initial Deployment: After a data science model is built, it is initially deployed to see how it performs in real-world scenarios. This is the stage where the model is tested for its accuracy, precision, and other performance metrics.
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Feedback: Once the model is deployed, feedback is collected. This feedback can come from various sources like the end-users, stakeholders, or the performance metrics. This feedback is crucial as it provides insights into how the model is performing and where it is lacking.
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Refining the Model: Based on the feedback received, data scientists refine the model. This could involve tweaking the algorithms, adding more features, or even collecting more data. In this case, the statement suggests that the model is refined by incorporating information about participation and possibly refining with detailed pharmaceutical data. This means that the data about how many people are participating in the program and the detailed data about the pharmaceuticals is used to make the model more accurate.
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Re-deployment: Once the model is refined, it is redeployed and the cycle continues until the model's performance is satisfactory.
So, the process of refining the model involves using the feedback received to make the necessary changes and improvements to the model.
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