Parkinson’s Telemonitoring Dataset
Contents
Parkinson’s Telemonitoring Dataset¶
The parkinson’s telemonitoring dataset contains measurement records from a telemonitoring device for several individuals at multiple time points. There are 2 regression tasks associated with this dataset.
You can read more of the description of the dataset from its UCI ML Repo page.
Data Preprocessing¶
As in the original setup, we include only the 16 measurements and exclude the instance-level data such as the subject # or timestamp. For the train-test split, we use a custom 80-20 train-test split of the original dataset, where individuals appear in only one of the splits.
We don’t do any further preprocessing of the data.