# Spectrm Text Classification Challenge

29 Sep 2016Spectrm posted a fun hiring challenge involving text classification. I gave it a shot and managed an 8% recall rate: not so bad considering there are as many classes as there are examples. Apparently what I came up with is a crude implementation of an inverse document frequency model.

*Predictions over the first 200 samples. Note the encouraging band along the diagonal!*

You can see my solution on Github and run it yourself if you like. I also included a Jupyter notebook which explains how it all works.