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+## About Dataset
+This dataset is composed of a range of biomedical voice measurements from 31 people, 23 with Parkinson's disease (PD). Each column in the table is a particular voice measure, and each row corresponds to one of 195 voice recordings from these individuals ("name" column). The main aim of the data is to discriminate healthy people from those with PD, according to the "status" column which is set to 0 for healthy and 1 for PD.
+
+### Attribute Information:
+Matrix column entries (attributes):
+name - ASCII subject name and recording number
+MDVP:Fo(Hz) - Average vocal fundamental frequency
+MDVP:Fhi(Hz) - Maximum vocal fundamental frequency
+MDVP:Flo(Hz) - Minimum vocal fundamental frequency
+MDVP:Jitter(%), MDVP:Jitter(Abs), MDVP:RAP, MDVP:PPQ, Jitter:DDP - Several measures of variation in fundamental frequency
+MDVP:Shimmer,MDVP:Shimmer(dB),Shimmer:APQ3,Shimmer:APQ5,MDVP:APQ,Shimmer:DDA - Several measures of variation in amplitude
+NHR, HNR - Two measures of the ratio of noise to tonal components in the voice
+status - The health status of the subject (one) - Parkinson's, (zero) - healthy
+RPDE, D2 - Two nonlinear dynamical complexity measures
+DFA - Signal fractal scaling exponent
+spread1,spread2,PPE - Three nonlinear measures of fundamental frequency variation
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