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# Introduction
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Second-by-second price updates from the last 60 seconds of the monthly license plate auction in Shanghai from 2014 to 2020, and a few months after that. The seconds data is given as a differential compared to the startprice. I managed to correctly predict and score a license plate on all three years that I worked on the project during 2018-2020. But it's not easy as there are lots of other factors affecting success on top of prediction accuracy.
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language:
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- "en-us"
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pretty_name: "Pretty Name of the Dataset"
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tags:
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- "License Plate"
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- "Auction"
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- "Timeline"
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license: "Open Source"
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task_categories:
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- "Tabular Regression"
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- "Timeline Prediction"
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# Introduction
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Second-by-second price updates from the last 60 seconds of the monthly license plate auction in Shanghai from 2014 to 2020, and a few months after that. The seconds data is given as a differential compared to the startprice. I managed to correctly predict and score a license plate on all three years that I worked on the project during 2018-2020. But it's not easy as there are lots of other factors affecting success on top of prediction accuracy.
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