Prediction of Chlorophyll-<i>a</i> Concentrations in the Nakdong River Using Machine Learning Methods
Many studies have attempted to predict chlorophyll-<i>a</i> concentrations using multiple regression models and validating them with a hold-out technique. In this study commonly used machine learning models, such as Support Vector Regression, Bagging, Random Forest, Extreme Gradient Boos...
Main Authors: | , , , , , , , , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2020-06-01
|
Series: | Water |
Subjects: | |
Online Access: | https://www.mdpi.com/2073-4441/12/6/1822 |