League-of-Legend-High-Elo-Team-Comp--Game-Length
OpenML dataset with id 43842
No author found.
Full work available at URL: https://api.openml.org/data/v1/download/22102667/League-of-Legend-High-Elo-Team-Comp--Game-Length.arff
Upload date: 24 March 2022
Dataset Characteristics
Number of features: 6 (numeric: 0, symbolic: 0 and in total binary: 0 )
Number of instances: 4,028
Number of instances with missing values: 0
Number of missing values: 0
Context I was exploring League of Legends datasets to play around but since Riot allows limited calls to their API, I've collected the data from OP.GG. Few goals of mine were to find out the best team compositions and to predict Victory/Loss given a team comp and game length. The most recent games on the dataset are on 2020 October 16th. Content The dataset consists of ranked matches from Korea(WWW), North America(NA), Eastern Europe(EUNE), and Western Europe(EUW) servers. It has which team won the match, the total time of the match, blue team composition and red team composition. Note that only the high elo games were added this includes Challenger, Grand Master, Master and sometimes even High Diamonds. Note that there are 151 total unique champions with 'Samira' as the latest addition.
You may find my blog post useful. (On quick data cleaning and analysis) https://leejaeka.github.io/jaekangai/fastpages/jupyter/2020/10/28/lolpredict.html
This page was built for dataset: League-of-Legend-High-Elo-Team-Comp--Game-Length
