Context More than 10 million people worldwide are living with Parkinson's disease. Improving machine learning model which identifies Parkinson's disease will lead to helping patients with early dialogs and reduction of treatment cost. Content Handwriting database consists of 62 PWP(People with Parkinson) and 15 healthy individuals. The data was collected in 2009. Number of instances: 77, Number of attributes: 7 Acknowledgements Source: https://archive.ics.uci.edu/ml/datasets/Parkinson+Disease+Spiral+Drawings+Using+Digitized+Graphics+Tablet Citation: 1.Isenkul, M.E.; Sakar, B.E.; Kursun, O. . 'Improved spiral test using digitized graphics tablet for monitoring Parkinson's disease.' The 2nd International Conference on e-Health and Telemedicine (ICEHTM-2014), pp. 171-175, 2014. 2.Erdogdu Sakar, B., Isenkul, M., Sakar, C.O., Sertbas, A., Gurgen, F., Delil, S., Apaydin, H., Kursun, O., 'Collection and Analysis of a Parkinson Speech Dataset with Multiple Types of Sound Recordings', IEEE Journal of Biomedical and Health Informatics, vol. 17(4), pp. 828-834, 2013.