Feature extraction and representation is an important step in any machine learning task. Although clinical evidence suggests that a prediction model for breast deformation after BCS should take breast shape (laterality), volume and density into account, considering tumor characteristics such as quadrant (position) or size as inputs, such factors should be inspected in a more systematic way to confirm their influence and effects. Moreover, such analysis is important to suggest the best suited machine learning algorithms to model the problem at hand. For visual purposes, the feature investigation was constrained only to the breast surface.