A sample from 143 completed competitions:
Free to use anything to get the job done. We used:
It's possible to quickly try things out to see if they'll work.
Comprehensive list of features can be found in the [repository][repo]. Useful extractions were:
Here is a list (incomplete) of what we tried:
Michael Hill's method came up on Github two days ago (Hill, 2014):
...population size of 30 and runs for 10 generations. The population is initialised with random feature masks consisting of roughly 55% features activated and the other 45% masked away. The fitness function is simply a CV ROC AUC score.
The default selected classifier for submission is linear regression.
Our repository can be found at: https://github.com/Neuroglycerin/hail-seizure
The next competitions coming up are:
Hill M (2014) Github - michaelHills/seizure-prediction. Available from: https://github.com/MichaelHills/seizure-prediction.
Kaggle Inc (2014) American epilepsy society seizure prediction challenge. Available from: https://www.kaggle.com/c/seizure-prediction.
Queiroz CM, Gorter JA, Silva FHL da, et al. (2009) Dynamics of evoked local field potentials in the hippocampus of epileptic rats with spontaneous seizures. Journal of Neurophysiology, 101(3), 1588–1597, Available from: http://jn.physiology.org/content/101/3/1588 (accessed 28 November 2014).