Decision Tree
Using Decision Tree to predict which team will win based on data from the first 15 minutes of over 24,000 solo queue matches on European servers. This dataset includes a total of 29 columns, 27 of which are feature columns that provide information on various aspects of the game for both the blue and red teams, such as the amount of gold and experience earned. These features influence the final outcome, which is recorded in the 'blueWin' column, indicating whether the blue team won (1) or lost (0).
In this project, I have to find the best value for minimum split, the nodes with the highest and lowest probability, as well as, insights gained from these nodes.