# Comparative Analysis of K-Nearest Neighbours Algorithm and Naive Bayes Algorithm for Prediction of Storm Warning

### Challa Rohini, S. Kumar

#### 2023

#### Abstract

The primary aim of this research was to enhance the accuracy of storm warnings by employing the novel K-Nearest Neighbours algorithm and comparing it to the Naive Bayes method. This investigation divided participants into two groups: the Novel K-Nearest Neighbours and the Naive Bayes Algorithm, each comprising ten representatives. The mean accuracy was determined using the ClinCalc software tool in a supervised learning setting, considering an alpha value of 0.05, a G-Power of 0.8, and a 95% confidence interval. The K-Nearest Neighbours algorithm showcased a notable accuracy rate of 68.20%, outstripping the 57.31% accuracy of the Naive Bayes. The difference between the two was statistically significant (p=0.000). In conclusion, the K-Nearest Neighbours approach substantially surpassed the Naive Bayes.

Download#### Paper Citation

#### in Harvard Style

Rohini C. and Kumar S. (2023). **Comparative Analysis of K-Nearest Neighbours Algorithm and Naive Bayes Algorithm for Prediction of Storm Warning**. 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 103-108. DOI: 10.5220/0012569500003739

#### in Bibtex Style

@conference{ai4iot23,

author={Challa Rohini and S. Kumar},

title={Comparative Analysis of K-Nearest Neighbours Algorithm and Naive Bayes Algorithm for Prediction of Storm Warning},

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={103-108},

publisher={SciTePress},

organization={INSTICC},

doi={10.5220/0012569500003739},

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 - Comparative Analysis of K-Nearest Neighbours Algorithm and Naive Bayes Algorithm for Prediction of Storm Warning

SN - 978-989-758-661-3

AU - Rohini C.

AU - Kumar S.

PY - 2023

SP - 103

EP - 108

DO - 10.5220/0012569500003739

PB - SciTePress