| Description: | The problem is to detect whether a persons eyes are open or shut
based on a 1 second reading of an EEG. This is a reformulation of
the data on the UCI archive
(Link Here)
original paper is here
(Link Here)
The data is recorded on
a single patient for 117 seconds with a 14 channel EEG at 128 Hz.
The original formulation treated each observation (1/28th of a
second) as a case, and there were biases in the original
experimentation See
(Link Here)
for a good discussion.
We have reformulated it as MTSC. We remove obvious outliers
(reading less than 3000 or more than 5000), segment the data into 1
second interval and retain only the intervals where the eyes are
either open (class 0) or shut (class 1). This gives a 14 dimension
MTSC problem with 128 observations per dimension. There are 54
class 0 and 44 class 1 (we have removed the 19 cases where the eyes
were both open and shut).
We created a default train test split, where the test has the last
21 observations of each class |
