Can I read Machine Learning for Ethanol Quality Assessment on EtoBox?
Machine Learning for Ethanol Quality Assessment by kishore1308r is a document available to read on EtoBox.
What is Machine Learning for Ethanol Quality Assessment about?
The document discusses the use of machine learning models to assess ethanol quality, highlighting the importance of accurate predictions for both consumers and producers. It details the implementation of algorithms such as Random Forest and Decision Trees, which are used to analyze various features affecting ethanol quality. The results indicate that the Random Forest classifier achieved an accuracy of 0.92, demonstrating the potential of machine learning in improving ethanol quality assessment.
- Author
- kishore1308r
- Language
- EN