parkinson: Parkinson data set

In natydasilva/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

[https://archive.ics.uci.edu/ml/datasets/Parkinsons](Parkinson)

natydasilva/PPforest documentation built on July 10, 2024, 9:44 a.m.