Is there a publication related to the data
yes.
Is your data multivariate or univariate?
multivariate. The data is phrased as a time step classification, with 14 EEG readings on a single time step being the features. It makes more sense to treat it as a MTSC problem, either unequal length (supervised segmentation into open or shut) or unsupervised equal length, in which case the labels could be open/shut/open and shut
Is there a default train/test split for the data
No. This is a single patient, so as long as the segmentation is not overlapping, it should be ok to split. We should split temporally (train before test) for default and provide resample.
Are there any missing values/padding?
No, dont think so
Is there a picture for the data we can put on the website?
How would you like the donation attributed on the website?
Can you provide a paragraph description, including the meaning of the class values, for the website?
Please give a brief description of the data classify if eye open or shut based on EEG
Where can we get the data?
https://archive.ics.uci.edu/ml/machine-learning-databases/00264/
Is there a publication related to the data yes. Is your data multivariate or univariate? multivariate. The data is phrased as a time step classification, with 14 EEG readings on a single time step being the features. It makes more sense to treat it as a MTSC problem, either unequal length (supervised segmentation into open or shut) or unsupervised equal length, in which case the labels could be open/shut/open and shut
Is there a default train/test split for the data No. This is a single patient, so as long as the segmentation is not overlapping, it should be ok to split. We should split temporally (train before test) for default and provide resample.
Are there any missing values/padding? No, dont think so
Is there a picture for the data we can put on the website?
How would you like the donation attributed on the website?
Can you provide a paragraph description, including the meaning of the class values, for the website?