BachelorTree is a silly project. My girlfriend really seems to like watching ABC's show, "The Bachelor". Hence, I sometimes watch it since I enjoy her company. The show itself is a fairly silly, but I'm always curious as to whether or not there's any way to answer a few questions:

• Why do some girls stay?
• Why do some girls go?
• Who will go next? (Boo! Hiss!! Predictive analysis!!!)

http://blog.thehumangeo.com/2015/02/20/machine-learning-about-love-who-will-leave-the-bachelor-next/

1. We write some sort of data scraper.
2. We use decision trees* to analyze the data we've captured
3. We watch the show next week and realize how wrong we are.

I've written a data scraper that hits the ABC website and pulls some data down. I've jammed all that into a JSON file that has today's date on it in /feature_data/.

• You can give me realistic advice on better methods.
• You can add or enhance the data about the contestants.
• You can write some code to do something you think is necessary.

• Twitter: jimmysthoughts

*Yes, I know, decision trees on a dataset of 24 points with many features is a horrible, horrible idea.