Parkinson data set
data(parkinson)A data set containing 195 observations from 2 parkinson types.
Class variable has 2 classes, there are 48 cases of healthy people and 147 cases with Parkinson. The feature variables are biomedical voice measures.
Average vocal fundamental frequency.
Maximum vocal fundamental frequency.
Minimum vocal fundamental frequency.
MDVP:Jitter(%) measures of variation in fundamental frequency.
MDVP:Jitter(Abs) measures of variation in fundamental frequency.
MDVP:RAP measures of variation in fundamental frequency.
MDVP:PPQ measures of variation in fundamental frequency.
Jitter:DDP measures of variation in fundamental frequency.
MDVP:Shimmer measures of variation in amplitude.
MDVP:Shimmer(dB) measures of variation in amplitude.
Shimmer:APQ3 measures of variation in amplitude.
Shimmer:APQ5 measures of variation in amplitude.
MDVP:APQ measures of variation in amplitude.
Shimmer:DDA measures of variation in amplitude.
NHR measures of ratio of noise to tonal components in the voice.
HNR measures of ratio of noise to tonal components in the voice.
RPDE nonlinear dynamical complexity measures.
D2 nonlinear dynamical complexity measures.
DFA - Signal fractal scaling exponent.
spread1 Nonlinear measures of fundamental frequency variation.
spread2 Nonlinear measures of fundamental frequency variation.
PPE Nonlinear measures of fundamental frequency variation.
A data frame with 195 rows and 23 variables