Case study – epileptic seizure recognition
As you've probably guessed, we are going to be solving a binary classification problem. We will start by planning the problem using the same framework we established in Chapter 2, Using Deep Learning to Solve Regression Problems, and modify it as needed. You can find the complete code for this chapter in the book's GitHub repository, under Chapter 4, Using Deep Learning to Solve Regression Problems.
Defining our dataset
The dataset that we will be working on this chapter is called the Epileptic Seizure Recognition dataset. The data originally comes from a paper titled Indications of nonlinear deterministic and finite dimensional structures in time series of brain electrical activity: Dependence on recording region and brain state by Andrzejak RG and others, published in Phys. Rev. E, 64, 061907. You can find the data at the UCI machine learning repository at http://archive.ics.uci.edu/ml/datasets/Epileptic+Seizure+Recognition.
Our goal is to create...
