League of Legends Comeback Prediction Dataset

Dataset DescriptionThis dataset is designed for analyzing and predicting comeback victories in Multiplayer Online Battle Arena (MOBA) games. It is derived from match data where an objective bounty mechanism was active, providing features that highlight differences between teams with and without the bounty advantage. The dataset is ideal for machine learning tasks, such as binary classification and feature importance analysis, and it enables researchers and analysts to explore factors influencing comeback scenarios in competitive gaming.Dataset Contents: The dataset includes the following files:match_data.csvContains match-level features derived from differences between teams with and without the objective bounty advantage. Each row represents a single match, labeled with whether a comeback victory occurred.