parkinson | R Documentation |

A data set containing 195 observations from 2 parkinson types.

Type Class variable has 2 classes, there are 48 cases of healthy people and 147 cases with Parkinson. The feature variables are biomedical voice measures.

X1 Average vocal fundamental frequency

X2 Maximum vocal fundamental frequency

X3 Minimum vocal fundamental frequency

X4 MDVP:Jitter(%) measures of variation in fundamental frequency

X5 MDVP:Jitter(Abs) measures of variation in fundamental frequency

X6 MDVP:RAP measures of variation in fundamental frequency

X7 MDVP:PPQ measures of variation in fundamental frequency

X8 Jitter:DDP measures of variation in fundamental frequency

X9 MDVP:Shimmer measures of variation in amplitude

X10 MDVP:Shimmer(dB) measures of variation in amplitude

X11 Shimmer:APQ3 measures of variation in amplitude

X12 Shimmer:APQ5 measures of variation in amplitude

X13 MDVP:APQ measures of variation in amplitude

X14 Shimmer:DDA measures of variation in amplitude

X15 NHR measures of ratio of noise to tonal components in the voice

X16 HNR measures of ratio of noise to tonal components in the voice

X17 RPDE nonlinear dynamical complexity measures

X18 D2 nonlinear dynamical complexity measures

X19 DFA - Signal fractal scaling exponent

X20 spread1 Nonlinear measures of fundamental frequency variation

X21 spread2 Nonlinear measures of fundamental frequency variation

X22 PPE Nonlinear measures of fundamental frequency variation

data(parkinson)

A data frame with 195 rows and 23 variables

urlhttps://archive.ics.uci.edu/ml/datasets/Parkinsons

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