You are given medical records with peoples age, measures, habits, etc. and the knowledge whether or not they have a certain medical condition. Your task is to create a machine learning method that can then ask a new person for his/her age, measures, habits, etc. and then predict whether or not they are in the risk group for that medical condition. What would you do? Select one: a. You design a model that can be trained with unsupervised learning. b. You design a model that uses active learning. c. You design a model that can be trained with supervised learning.

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Q: What are the similarities and differences between the theories of reinforcement and goal-setting?

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Q: What exactly is a confidence interval? When and why should we utilize confidence intervals when…

A: Confidence interval: Confidence interval refers to the likelihood that a population parameter will…

Q: What makes exploratory testing unique from other types of testing, and how does it vary from other…

A: Exploratory testing is a type of software testing in which testers actively explore an application,…

Q: A model's accuracy may be improved via an iterative process, which you must describe and illustrate.

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Q: What are the points of convergence and divergence between reinforcement and goal-setting theory?

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Q: What does "validation" of simulation models mean? Explain and present

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A: Please find the answer below :

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Q: What are the parallels between reinforcement and goal-setting theory?

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Q: How do you take an ER diagram and use it to make a mental model?

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System Model Approaches

The systems model approach is a process-oriented representation that emphasizes the impact or flow of information between modules. The multidisciplinary study of the use of models to design and create systems in business and IT development is known as systems model approach. It models how processes interact and what these processes do, but it does not go into detail about how these processes are implemented. Functional decomposition may be utilized to enhance the models employed in this technique, and they can be coupled to requirements models for additional system partitioning.