Dota mining

Predict game winner using a Naive Bayes classifier.
With a corpus size of 3963 matches it achieves a performance of:

Individual accuracy: 64.13%
Match accuracy: 74.52%

Scraping

The match data used is provided by opendota.com.

Available parameters

• -s N, --scrape N
  Extend corpus with N new matches
• -t, --train
  Train the classifier using the updated corpus
• -c CORPUS, --corpus CORPUS
  Path to pickle file of corpus. Deafult: corpus.p
• -l CLASSIFIER, --classifier CLASSIFIER Path to pickle file of classifier. Deafult: classifier.p

Features

• --unigram
• --bigram
• --trigram
• --wp30
  Words per 30 minutes
• --sdi
  Shannon Diversity Index

Extras

• --fourgram
• --fivegram

Baseline example

python3 dotaminer.py --train --unigram

Complete system example

python3 dotaminer.py --train --unigram --bigram --trigram --wp30 --sdi