UserDefined-KNN | Classifier : User Defined K Nearest Neighbour

UserDefined-KNN is a Python library. UserDefined-KNN has no bugs, it has no vulnerabilities and it has low support. However UserDefined-KNN build file is not available. You can download it from GitHub.

Classifier : User Defined K Nearest Neighbour. DataSet : Iris Dataset. Features : Sepal Width, Sepal Length, Petal Width, Petal Length. Labels : Versicolor, Setosa , Virginica. Training Dataset : 75 Entries. Testing Dataset : 75 Entries. The k-nearest-neighbors algorithm is a classification algorithm, and it is supervised: it takes a bunch of labelled points and uses them to learn how to label other points. To label a new point, it looks at the labelled points closest to that new point (those are its nearest neighbors), and has those neighbors vote, so whichever label the most of the neighbors have is the label for the new point (the “k” is the number of neighbors it checks).