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I want to build a disease classification model for new patients using patient data collected at a hospital that includes symptoms and diagnostic labels. Which learning method is most suitable?
①A model that learns a policy to maximize rewards using reinforcement learning.
②A model that automatically clusters patient data using unsupervised learning
③A classification model using supervised learning (trained on labeled data)
④How to manually build a rule-based expert system.
⑤How to generate new samples with Generative Adversarial Networks (GANs)