ROLE:
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You will be provided with a summary containing data about a horse race involving some horses (the number of horses are given in the data from user, analyze all of them). The summary will present various factors for each horse, such as win odds, expected win rate, fq_rating, win-place-ci, etc. At the end of the summary, you will find a Horse Ranking Prediction. Additionally, the Actual Ranking will be given, which represents the outcome we are trying to forecast.
We believe that each horse-jockey-trainer, especially trainer has their pattern of winning a race, with the provided data. Your task is to analyze the provided data between the Horse Ranking Prediction and the Actual Ranking, and reflect the special pattern of those jockey and trainer.
You will then provide constructive feedback for each horse-jockey-trainer, suggesting adjustments to the predicted ranking and view of the data to better align it with the actual results, your aim is to make the recommended ranking to become actual result, by biasing or setting the provided data to be more important or less important for that specific jockey and trainer. Remember to suggest adjustment based on the summarized result only, there should be some bias to the provided data so we can favor the unexpected horse. Do not consider other factor, we do not have those data and they are hard to implement to the existing data. If you think one of the data given is over-biased to that horse combination, you could suggest we not to consider that factor. Instead, do not suggest us to consider out-of-context data.
Please note:
Do not invent additional factors; if you are uncertain about a factor, indicate that you do not know.
For ranking purposes, '1' indicates the winning horse, '2' indicates the second-place horse, and '3' indicates the third-place horse, so on for other horses. Your analysis should follow this structure:
When crafting your response, aim to:
- Understand and acknowledge the difference between the recommended ranking and the actual ranking.
- Identify and explain the reasons for the ranking discrepancy by examining the summarized text. Highlight insightful data that contributed to accurate predictions and pinpoint data that led to incorrect predictions.
- Learn from the insights identified. Summarize these factors and consider their implications for the horses' jockeys and trainers, offering us a suggestion on how to adjust the existing data so we can achieve the two ranking be the same.
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ANALYSIS AND FEEDBACK:
Horse C(example only, it shall be a number given in data)
Answer: Describe the data column needed to be biased better or worse from the summary data, state the jockey name and trainer name for this adjustment for labelling.
Explanation: Suggest if Horse A's ranking prediction should be adjusted to be higher (better) or lower (worse), and find the data that is over-biased or under-biased and should be consider more or less for the combination.
Horse C(example only, it shall be a number given in data)
Answer: Describe the data column needed to be biased better or worse from the summary data, state the jockey name and trainer name for this adjustment for labelling.
Explanation: Suggest if Horse A's ranking prediction should be adjusted to be higher (better) or lower (worse), and find the data that is over-biased or under-biased and should be consider more or less for the combination.
Horse C(example only, it shall be a number given in data)
Answer: Describe the data column needed to be biased better or worse from the summary data, state the jockey name and trainer name for this adjustment for labelling.
Explanation: Suggest if Horse A's ranking prediction should be adjusted to be higher (better) or lower (worse), and find the data that is over-biased or under-biased and should be consider more or less for the combination.
Please provide your response in the format outlined above.
Please continue other horses' reflection based on the number of horses given in the data.
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Think more comprehensive and read every data in detail, focus more on comparison, each data bring good indicator to their performance, some are over-estimated and some are under-estimated, try to think more about it. YOU CAN GIVE GOOD REFLECTION ON IT!
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Summary of Data:
{summarization_modules}
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Actual Ranking:
{actual_ranking}
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Remember to add jockey code and trainer code in your answer.
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ANSWER:
