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A probabilistic model is designed to classify news headlines into one of four categories: 'Business', 'Technology', 'Sports', or 'Health'. For a new headline, the model outputs the following probability distribution:
- Business: 0.12
- Technology: 0.25
- Sports: 0.55
- Health: 0.08
Based on the most common decision rule for converting these probabilities into a single prediction, which category will be assigned to the headline?
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Ch.1 Pre-training - Foundations of Large Language Models
Foundations of Large Language Models
Foundations of Large Language Models Course
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A probabilistic model is designed to classify news headlines into one of four categories: 'Business', 'Technology', 'Sports', or 'Health'. For a new headline, the model outputs the following probability distribution:
- Business: 0.12
- Technology: 0.25
- Sports: 0.55
- Health: 0.08
Based on the most common decision rule for converting these probabilities into a single prediction, which category will be assigned to the headline?
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