Simple ml classification script that determines the gender of someone based on tree features(heigth, weight, shoe size). Goal was to test three different models and choose the most accurate one.
Summary: the classifiers KNeigbors and Gaussian naive bayes where the most accurate ones in this test.
#Ran with: Python 3.6.4
#Dependencies
Scikit-learn (http://scikit-learn.org/stable/install.html) numpy (pip install numpy) scipy (pip install scipy)
#Credits The data set was from Siraj Raval.