Improving Email Spam Prediction with Novel Recurrent Neural Network versus Logistic Regression

Chillakuru Neeharika, S. Kalaiarasi

2023

Abstract

The goal of the research is to improve accuracy in detection of email spam using a novel recurrent neural network compared to logistic regression. Two groups such as Novel Recurrent Neural Network and Logistic regression are taken for this study. The sample size for each group is 10, and the study's parameters include an alpha value of 0.8 and a beta value of 0.2. About 80% is the G-power value. In terms of predicting spam in electronic mail, the Novel Recurrent Neural Network has the highest accuracy (97.36%), while the Logistic Regression comes in at 94.90%. p=0.005(p0.05), which is the statistically significant value. The Novel Recurrent Neural Network better than the Logistic Regression in Electronic mail spam prediction.

Paper Citation

in Harvard Style

Neeharika C. and Kalaiarasi S. (2023). Improving Email Spam Prediction with Novel Recurrent Neural Network versus Logistic Regression. In Proceedings of the 1st International Conference on Artificial Intelligence for Internet of Things: Accelerating Innovation in Industry and Consumer Electronics - Volume 1: AI4IoT; ISBN 978-989-758-661-3, SciTePress, pages 91-95. DOI: 10.5220/0012566500003739

in Bibtex Style

@conference{ai4iot23,
author={Chillakuru Neeharika and S. Kalaiarasi},
title={Improving Email Spam Prediction with Novel Recurrent Neural Network versus Logistic Regression},
booktitle={Proceedings of the 1st International Conference on Artificial Intelligence for Internet of Things: Accelerating Innovation in Industry and Consumer Electronics - Volume 1: AI4IoT},
year={2023},
pages={91-95},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012566500003739},
isbn={978-989-758-661-3},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 1st International Conference on Artificial Intelligence for Internet of Things: Accelerating Innovation in Industry and Consumer Electronics - Volume 1: AI4IoT
TI - Improving Email Spam Prediction with Novel Recurrent Neural Network versus Logistic Regression
SN - 978-989-758-661-3
AU - Neeharika C.
AU - Kalaiarasi S.
PY - 2023
SP - 91
EP - 95
DO - 10.5220/0012566500003739
PB - SciTePress