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A gaming company has launched an online game where people can start playing for free, but they need to pay if they choose to use certain features. The company needs to build an automated system to predict whether or not a new user will become a paid user within 1 year. The company has gathered a labeled dataset from 1 million users. The training dataset consists of 1,000 positive samples (from users who ended up paying within 1 year) and 999,000 negative samples (from users who did not use any paid features) . Each data sample consists of 200 features including user age, device, location, and play patterns. Using this dataset for training, the Data Science team trained a random forest model that converged with over 99% accuracy on the training set. However, the prediction results on a test dataset were not satisfactory Which of the following approaches should the Data Science team take to mitigate this issue? (Choose two.)
Forensic Psychiatric
A branch of psychiatry that intersects with the law, involving the assessment and treatment of individuals who are involved with the legal system.
Peer-reviewed
Describes a process where scholarly work or research is evaluated and critiqued by experts in the same field before publication.
Insanity Defense
A legal defense used in criminal trials asserting that the defendant was unable to understand the nature or wrongfulness of their actions due to severe mental disease or defect at the time of the crime.
Auditory Hallucinations
A form of hallucination involving hearing sounds, often voices, that aren't actually present.
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