Percentage of Data to Be Included in Training Data

This percentage indicates the inner percentage of data according to the estimated kernel density contour. The corresponding inner observations are considered as proper (or invariant) data to be included in the training data set.

Note: This parameter is activated when quantile normalization is selected.

To Specify the Percentage of Data to Be Included in Training Data:

Either click and drag the slider to the left or right, or type a value directly into the text box.