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League-of-Legends-Diamond-Games-(First-15-Minutes) - MaRDI portal

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League-of-Legends-Diamond-Games-(First-15-Minutes)

From MaRDI portal
Dataset:6036730



OpenML43635MaRDI QIDQ6036730

OpenML dataset with id 43635

Author name not available (Why is that?)

Full work available at URL: https://api.openml.org/data/v1/download/22102460/League-of-Legends-Diamond-Games-(First-15-Minutes).arff

Upload date: 24 March 2022



Dataset Characteristics

Number of features: 19 (numeric: 19, symbolic: 0 and in total binary: 0 )
Number of instances: 48,651
Number of instances with missing values: 0
Number of missing values: 0

Description

Context Inspired by the following dataset , we have a collection of data on the first 15 minutes of about 50000 Diamond ranked League of Legends matches scraped using Riot's API. Can you predict their outcomes? Content Data All matches were collected with the following parameters: Season: 13 Server: NA1 Rank: Diamond Tier: I,II,III,IV Acknowledgements Thank you to Riot Games for allowing access to their API. Inspiration When working on the linked dataset above, we see classification accuracy peak around 70. Given that we have 5 times the amount of data, I wanted to explore how this would improve our results.






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