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UCI Machine Learning Data Set: Parkinson Speech Dataset with Multiple Types of Sound Recordings Data Set

I would like to use the data set Parkinson Speech Dataset with Multiple Types of Sound Recordings Data Set from UCI to test pattern recognition algorithms. However when I plot the features and labels, it seems the features and the label are totally irrelevant. For example, enter image description here enter image description here enter image description here enter image description here

I use K-L Transform, generating a 2D data, but this still does not work well. enter image description here

Are these data from different classes separable?