My implementation of the NNR classifier for in course DataScience Assignment Information about NNR: A nearest neighbors in radius (NNR) classifier is a variation of the KNN classifier, where instead of looking for the majority vote within K nearest neighbors of an instance, it inspects all instance’s neighbors in a given radius and assigns it a label according the majority vote in the radius.
NOTE: For change the default datasets for testing need change the file names in json file.