An Improved Weighted Base Classification for Optimum Weighted Nearest Neighbor Classifiers

An Improved Weighted Base Classification for Optimum Weighted Nearest Neighbor Classifiers

Existing classification studies use two non-parametric classifiers- k-nearest neighbours (kNN) and decision trees, and oneparametric classifier-logistic regression, generating high accuracies. Previous research work has compared the results ofthese classifiers with training patterns of different siz...

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Bibliographic Details
Main Authors: Muhammad Abbas, Kamran Memon, Noor Ain, Ekang Ajebesone, Muhammad Usaid, Zulfiqar Bhutto
Format: Article
Language:English
Published: European Alliance for Innovation (EAI) 2020-10-01
Series:EAI Endorsed Transactions on Scalable Information Systems
Subjects:
classification
k-nearest neighbor (knn)
logistic regression
decision trees
cross-validation
machine-learning (ml)
svm
random forest
improved version of k-nearest neighbor (ivknn)
and python
Online Access:https://eudl.eu/pdf/10.4108/eai.13-7-2018.163339

Internet

https://eudl.eu/pdf/10.4108/eai.13-7-2018.163339

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