Machine Learning Classifer built in Mathematica
This is a simple machine learning classifier built using mathematica. The data it used was US housing data, to predict if pets are allowed in your home. The code is general purpose and is easily modified for more sophisticated objectives.
The dataset used was US housing data, with the following keys, "region, price, type, sqfeet, beds, baths, cats_allowed, dogs_allowed, smoking_allowed, comes_furnished, laundry_options, parking_options, state"
The ML model predicts if cats are allowed or not. The code can easily be modified for any other objective.
The accuracy of the classifer model is 94.5%.
If you wish to see the source code for the documents. Click on the below button to be re-directed to my Github repo with all the files.