Dwayne's personal journey to creating an auto-tuning hyper parameter binary classifier identifier...

Or in non-nerd speak...

What is the best guesser (model) that will help me know if:

• Win or not
• Win a date based on guys vital statistics versus woman's vital statistics
• Identify if your expected baby is a boy or girl based on your demographics

This is my personal journey to automating classifiers, and creating models that are self-tuning.

Code is still in progress.

My sample data is 700 games from Dota 2 7.19 patch. "Based on the heroes that both teams picked, will radiant or dire win?"

To self, please run this so that the env will be deployed quickly: virtualenv --no-site-packages --distribute .env && source .env/bin/activate && pip install -r requirements.txt

To run this code: python src\main.py python src\main.py datasets\dota\games_718.csv datasets\dota\classifiers.conf Table1.WinningTeam