American Epilepsy Society Seizure Prediction Challenge

Description

The code was written for the American Epilepsy Society Seizure Prediction Challenge. The software is written in Python. The standard numpy, scipy, scikit-learn and matplotlib packages are used extensively.

Dependency

• Python 2.7
• scikit learn-0.14.1
• numpy-1.8.1
• pandas-0.14.0
• scipy
• hickle (plus h5py and hdf5, see https://github.com/telegraphic/hickle for installation details)

Hardware and Runtime

The computations were done in a desktop with intel i7 quad core CPU and 12GB RAM. The total computational time is about 2 hours when the classifier is set to use all the CPU threads.

How to Generate the Solution

• Modify SETTINGS.json file and put the data in the data dir. Sample SETTINGS.json is given here

{
  "competition-data-dir": "seizure-data",
  "data-cache-dir": "data-cache",
  "submission-dir": "submissions",
  "figure-dir": "figure"
}

• Run predict.py
• Check the submission file in submissions directory and the analytical graphic PDF file in figure directory