Final answer:
The value output by an Adaptive Model is a score, which is a numerical probability of an event like a customer response or transaction fraud. The model refines its scoring as it learns from incoming data over time.
Step-by-step explanation:
The value output by an Adaptive Model is typically a score. This score is a numerical representation indicating the probability of a certain behavior or event to occur, such as the likelihood of a customer responding to a marketing campaign or the chance of a transaction being fraudulent. The adaptive model adjusts this score based on incoming data over time, thereby 'learning' and refining its predictions.
For example, in the context of a marketing campaign, an adaptive model might analyze customer data and activities to generate a score that predicts the customer's response rate to a particular advertisement. A higher score would indicate a higher likelihood of the customer engaging with the campaign, thus helping marketers tailor their strategies to target the most promising leads.