Parkinsons Properties

Gets the class labels associated with each instance in Oxford Parkinson's Disease Detection Dataset.

Gets the class labels in Wisconsin's (Diagnostic) Breast Cancer dataset. "Benign", "Malignant".

Gets the data instance features contained in Oxford Parkinson's Disease Detection Dataset.

Gets identifiers for each of the instances contained in Oxford Parkinson's Disease Detection Dataset.

Gets the number of classes in this dataset (should be 2).

Gets the number of inputs (input dimension) in this dataset (should be 22).

Gets the variable names in Oxford Parkinson's Disease Detection data set: MDVP:Fo(Hz) - Average vocal fundamental frequency, MDVP:Fhi(Hz) - Maximum vocal fundamental frequency, MDVP:Flo(Hz) - 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 - Several measures of variation in amplitude, MDVP:Shimmer(dB) - Several measures of variation in amplitude, Shimmer:APQ3 - Several measures of variation in amplitude, Shimmer:APQ5 - Several measures of variation in amplitude, MDVP:APQ - Several measures of variation in amplitude, Shimmer:DDA - Several measures of variation in amplitude, NHR,HNR - Two measures of ratio of noise to tonal components in the voice, RPDE,D2 - Two 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,