Cost Of False Positives

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• Reward Function: In the context of reinforcement learning, a reward function is a mathematical function that maps the state-action pairs of an agent to a scalar value, which represents the desirability of that state-action pair. The goal of the agent is to ... Read More >>
• System Testing: System testing is a level of software testing where a complete and integrated software system is tested. The purpose of system testing is to evaluate the system's compliance with the specified requirements and to ensure that it meets the in ... Read More >>
• Output: Reinforcement Learning is a type of machine learning where an agent learns to behave in an environment by performing certain actions and receiving rewards or penalties in response. The goal of the agent is to maximize the cumulative reward ... Read More >>