This project detects the gender of a person (or group of people) based on their height, weight and shoe size.
The training data "X" is made up of 10 records, but increasing this number can provide a more accurate prediction.
Each training record is a Python list made up of 3 elements in order [heigh, weight, shoe size].
To run the prediction on your own data, edit "newData" by inserting a new list of [heigh, weight, shoe size] per peson. Don't forget to separate the lists with a comma.
Depending of your running version of Python, In the terminal type
python index.py
or
python3 index.py
You should get a list of genders that correspond to your inserted data.
For example: ['male' 'male'] or ['female' 'male'], etc..