Dota2-Games-Results-Data-Set
OpenML dataset with id 45563
Author name not available (Why is that?)
Full work available at URL: https://api.openml.org/data/v1/download/22116531/Dota2-Games-Results-Data-Set.arff
Upload date: 5 June 2023
Dataset Characteristics
Number of classes: 2
Number of features: 117 (numeric: 0, symbolic: 117 and in total binary: 1 )
Number of instances: 102,944
Number of instances with missing values: 0
Number of missing values: 0
Dota 2 is a popular computer game with two teams of 5 players. At the start of the game each player chooses a unique hero with different strengths and weaknesses.
Source:
stephen.tridgell '@' sydney.edu.au
Data Set Information:
Dota 2 is a popular computer game with two teams of 5 players. At the start of the game each player chooses a unique hero with different strengths and weaknesses. The dataset is reasonably sparse as only 10 of 113 possible heroes are chosen in a given game. All games were played in a space of 2 hours on the 13th of August, 2016
The data was collected using: [Web Link]
Attribute Information:
Each row of the dataset is a single game with the following features (in the order in the vector): 1. Team won the game (1 or -1) 2. Cluster ID (related to location) 3. Game mode (eg All Pick) 4. Game type (eg. Ranked) 5 - end: Each element is an indicator for a hero. Value of 1 indicates that a player from team '1' played as that hero and '-1' for the other team. Hero can be selected by only one player each game. This means that each row has five '1' and five '-1' values.
The hero to id mapping can be found here: [Web Link]
Relevant Papers:
N/A
Note:
This dataset merges the training and test data from UCI.
This page was built for dataset: Dota2-Games-Results-Data-Set
