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Selecting the Best Predicted Sequence
A team is developing a system to predict the next five stock market price movements (e.g., 'up', 'down', 'stable'). They test two different predictive models on the same initial data. An evaluation model then calculates the probability of each predicted five-day sequence occurring. Given the results below, which model's prediction should be considered higher quality, and why?
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Ch.5 Inference - Foundations of Large Language Models
Foundations of Large Language Models
Foundations of Large Language Models Course
Computing Sciences
Application in Bloom's Taxonomy
Cognitive Psychology
Psychology
Social Science
Empirical Science
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A system generates several possible sequences of values to predict a future outcome. An evaluation model then calculates the probability of each entire sequence occurring. Based on this method, which of the following predicted sequences would be considered the highest quality prediction?
Selecting the Best Predicted Sequence
When assessing the quality of a predicted sequence of future values, the most effective method is to calculate the probability of each individual value in the sequence and then average these probabilities to find the overall quality score.