What is it about?

it evaluates the performances of variouse machine learning models for predicting the solid waste generation in Malaysia as a case study. Furthermore, it presents usage of machine learning algorithm and its benefits for estimate and predict municipal solid waste generation. Thus, the procedures can be used foe modelling similar environmental and life issues

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Why is it important?

it compares the performances of machine learning tools as well as shows their work principles. Thus the reader can benefit from the implemented methodology to properly choose and improve the modelling process.


it gives the readers the opportunity to know the capacity and the drawbacks of variouse machine learning tools. However, working with such group of researchers was pleasure experience that improved my skills

Associate Professor Mohammad K Younes
Applied Science Private University

Read the Original

This page is a summary of: Evaluating different machine learning models for predicting municipal solid waste generation: a case study of Malaysia, Environment Development and Sustainability, September 2023, Springer Science + Business Media,
DOI: 10.1007/s10668-023-03882-x.
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