A Robust XG-Boost Machine Learning Model for Water Quality Estimation System by Leveraging with Chi-Square Forward Sequential Feature Selection Technique
Author:
Affiliation:
1. Shri Vishnu Engineering College for Women,Department of C.S.E,Bhimavaram,India
2. Vishnu Institute of Technology,Computer Science and Engineering,Bhimavaram,India
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10389814/10389816/10390370.pdf?arnumber=10390370
Reference27 articles.
1. Water Quality Classification and Machine Learning Model for Predicting Water Quality Status—A Study on Loa River Located in an Extremely Arid Environment: Atacama Desert
2. A Plausible RNN-LSTM based Profession Recommendation System by Predicting Human Personality Types on Social Media Forums
3. Water Quality Index Estimations Using Machine Learning Algorithms: A Case Study of Yazd-Ardakan Plain, Iran
4. An Optimal Machine Learning Model Based On Selective Reinforced Markov Decision To Predict Web Browsing Patterns;Rao;Journal of Theoretical and Applied Information Technology,2023
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