https://github.com/rubixml/dota2
Build a classifier to predict the outcome of Dota 2 games with the Naive Bayes algorithm and results from 102,944 sample games.
https://github.com/rubixml/dota2
classifier cross-validation data-science dota dota2 machine-learning machine-learning-tutorial naive-bayes naive-bayes-algorithm naive-bayes-classifier php php-machine-learning php-ml prediction rubix-ml
Last synced: 5 months ago
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Build a classifier to predict the outcome of Dota 2 games with the Naive Bayes algorithm and results from 102,944 sample games.
- Host: GitHub
- URL: https://github.com/rubixml/dota2
- Owner: RubixML
- License: mit
- Created: 2019-09-13T01:55:43.000Z (over 5 years ago)
- Default Branch: master
- Last Pushed: 2023-07-20T08:54:33.000Z (almost 2 years ago)
- Last Synced: 2024-11-24T20:47:06.622Z (5 months ago)
- Topics: classifier, cross-validation, data-science, dota, dota2, machine-learning, machine-learning-tutorial, naive-bayes, naive-bayes-algorithm, naive-bayes-classifier, php, php-machine-learning, php-ml, prediction, rubix-ml
- Language: PHP
- Homepage: https://rubixml.com
- Size: 4.89 MB
- Stars: 14
- Watchers: 5
- Forks: 2
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# Rubix ML - Dota 2 Game Outcome Predictor
[Dota 2](http://www.dota2.com/) is a popular multiplayer online battle arena (MOBA) game that puts 10 players divided into 2 teams against each other. Each player controls a unique hero with abilities and its own set of strengths and weaknesses. Our objective is to build a classifier to predict the winning team based on hero matchup given a dataset of 102,944 individual matchups and their labeled outcomes. We'll employ the [Naive Bayes](https://docs.rubixml.com/latest/classifiers/naive-bayes.html) algorithm as our base estimator and learn how to save the trained model for use in another process. We'll also test the model to see how well it can generalize what it has learned to new data.
- **Difficulty:** Easy
- **Training time:** Minutes
## Installation
Clone the project locally using [Composer](https://getcomposer.org/):
```sh
$ composer create-project rubix/dota2
```
## Requirements
- [PHP](https://php.net) 7.2 or above
#### Recommended
- 2G of system memory or more
## Tutorial
On the map ...
## Original Dataset
stephen.tridgell '@' sydney.edu.au
## References
>- Dua, D. and Graff, C. (2019). UCI Machine Learning Repository [http://archive.ics.uci.edu/ml]. Irvine, CA: University of California, School of Information and Computer Science.
## License
The code is licensed [MIT](LICENSE) and the tutorial is licensed [CC BY-NC 4.0](https://creativecommons.org/licenses/by-nc/4.0/).