[2022] Machine learning project that predicts the outcome of a SoloQ match with 90% of accuracy

I implemented a machine learning project that predicts the outcome of a League of Legends game after the champions are selected and before entering the game with a maximum accuracy of 90%.

I used the player-champion Winrate and player-champion Mastery from each player in the match to train my algorithm.

I used more than 17k unique SoloQ matches from LAN and NA server. Spread evenly between Iron to Diamond division.

All the code and detailed information can be found here. GitHub link Please feel free to ask any question you may have!