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PICO Project

The document compares two papers on email spam detection, one using Naive Bayes and SVM algorithms, and the other using ANN and SVM. Both papers report less accuracy initially but indicate improved accuracy with their respective methods. The focus is on the performance of SVM in the first paper and ANN combined with SVM in the second paper.

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24 views1 page

PICO Project

The document compares two papers on email spam detection, one using Naive Bayes and SVM algorithms, and the other using ANN and SVM. Both papers report less accuracy initially but indicate improved accuracy with their respective methods. The focus is on the performance of SVM in the first paper and ANN combined with SVM in the second paper.

Uploaded by

chanikyakinghacker
Copyright
© © All Rights Reserved
We take content rights seriously. If you suspect this is your content, claim it here.
Available Formats
Download as DOCX, PDF, TXT or read online on Scribd
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Paper No Paper 1 Paper 2

Analyze the Accuracy of Email Spam Analyze the Accuracy of Email Spam
Title Detection Using Naive Bayes and SVM Detection Using ANN and SVM
Algorithms Algorithms
P Less accuracy (%) Less accuracy (%)

I SVM ANN

C SVM vs Naive Bayes algorithm ANN with SVM

O Improved accuracy (%) Improved accuracy (%)

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