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Machine learning and. In machine learning and statistics, feature selection, also known as variable selection, attribute selection or variable subset selection, is the process of selecting a subset of relevant features (variables, predictors) for use in model construction. Feature selection techniques are used for three reasons:
The Rectangle Selection tool is designed to select rectangular regions of the active layer: it is the most basic of the selection tools, but very commonly used. For information on selections and how they are used in GIMP see Selections; for information on features common to all selection tools see Selection Tools.This tool is also used for rendering a rectangle on an image.To render a filled rectangle, create a rectangular selection, and then fill it using the Bucket Fill tool.To create a rectangular outline, the simplest and most flexible approach is to create a rectangular selection and then stroke it.his tool is also used for rendering a rectangle on an image. To render a filled rectangle, create a rectangular selection, and then fill it using the Bucket Fill tool.