A machine learning approach using random forest and LASSO to predict wine quality-Reference-Cited by-同舟云学术

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A machine learning approach using random forest and LASSO to predict wine quality

Published:2021 Issue:3 Volume:7 Page:232
ISSN:2054-5819
Container-title:International Journal of Sustainable Agricultural Management and Informatics
language:en
Short-container-title:IJSAMI

Author:

Athanasiadis Ioannis,Ioannides Dimitrios

Publisher

Inderscience Publishers

Subject

Economics and Econometrics,General Agricultural and Biological Sciences,Business, Management and Accounting (miscellaneous)

Cited by 4 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Demand Forecasting for Multi-Variety and Small-Batch Materials Based on Attention to Degree;Applied Mathematics and Nonlinear Sciences;2024-01-01

2. Performance Evaluation of Machine Learning and Neural Network Algorithms for Wine Quality Prediction;2023 14th International Conference on Computing Communication and Networking Technologies (ICCCNT);2023-07-06

3. Predicting and forecasting water quality using deep learning;International Journal of Sustainable Agricultural Management and Informatics;2023

4. Data analytics and optimised machine learning algorithm to analyse coffee commodity prices;International Journal of Sustainable Agricultural Management and Informatics;2022

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