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Classifier Accuracy via Outlier Analysis by Editor IJRITCC is a document available to read on EtoBox.

This document presents a comparative study of different outlier detection methods for improving classifier accuracy on categorical data. It describes Outlier Factor by Infrequency (OFI), which calculates outlier scores based on the infrequency of itemsets in each record, and Normally Distributed Outlier Factor by Infrequency (NOFI), which calculates outliers automatically without needing a predefined number of outliers. The document conducts experiments on bank and nursery datasets using these methods and f

Author
Editor IJRITCC
Language
EN