Please use this identifier to cite or link to this item: http://hdl.handle.net/123456789/2243
Title: System model for prediction analytics using /(-nearest neighbors algorithm
Authors: Prasad D
Kumar Goyal S
Sharma A
Bindal A
Singh Kushwah V.
Keywords: Classifiers
KNN Algorithm
Machine Learning
Prediction Analysis.
Issue Date: 2019
Publisher: American Scientific Publishers
Abstract: Machine Learning is a growing area in computer science in today�s era. This article is focusing on prediction analysis using K-Nearest Neighbors (KNN) Machine Learning algorithm. Data in the dataset are processed, analyzed and predicated using the specified algorithm. Introduction of various Machine Learning algorithms, its pros and cons have been discussed. The KNN algorithm with detail study is given and it is implemented on the specified data with certain parameters. The research work elucidates prediction analysis and explicates the prediction of quality of restaurants.
URI: 10.1166/jctn.2019.8536
http://hdl.handle.net/123456789/2243
Appears in Collections:Journals

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