MPIL is an instance-based learning system , which utilizes two models for creating neighborhoods. The first model places a single neighborhood sphere (based on Euclidean distance measure) around an instance, and is in nature similar to the nearest neighbor classifier, except that it removes redundant instances. The second model incorporates N radii (one for each input of an instance). This model also supports knowledge acquisition in the form of
