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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:
Selection Tools. Erasing is easy and you don't need to know much about GIMP to do it. But eventually you'll probably want to use a more flexible method, a selection, where you select just the part you want. Then remembers the selected part, and you can it into another image.There are lots of ways of making a selection in GIMP. For a shape like the penguin, you can use the Free Select tool -- its icon looks like a lasso -- to draw the outlines of the object you want to select.election Tools. Erasing is easy and you don't need to know much about GIMP to do it. But eventually you'll probably want to use a more flexible method, a selection, where you select just the part you want. Then remembers the selected part, and you can it into another image.