Parkinsons Class

Prepares the Oxford Parkinson's Disease Detection data set.

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,

Determines whether the specified object is equal to the current object.

Allows an object to try to free resources and perform other cleanup operations before it is reclaimed by garbage collection.

Serves as the default hash function.

Gets the Type of the current instance.

Creates a shallow copy of the current Object.

Returns a string that represents the current object.

Checks whether an object implements a method with the given name.

Compares two objects for equality, performing an elementwise comparison if the elements are vectors or matrices.

Converts an object into another type, irrespective of whether the conversion can be done at compile time or not. This can be used to convert generic types to numeric types during runtime.

Converts an object into another type, irrespective of whether the conversion can be done at compile time or not. This can be used to convert generic types to numeric types during runtime.