parkinson: Parkinson data set

In PPforest: Projection Pursuit Classification Forest

Parkinson data set

Description

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

Usage

data(parkinson)

Format

A data frame with 195 rows and 23 variables

Source

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

PPforest documentation built on Sept. 10, 2022, 1:05 a.m.