Open AccessEvaluating the performance of feature selection techniques and machine learning algorithms on future residential water demand
Author(s) -
Marziyeh Pourmousavi,
Hossein Nasrollahi,
Abdolhamid Amirkaveh Najafabadi,
Ahmad Kalhor
Publication year - 2022
Publication title -
water science and technology water supply
Language(s) - English
Resource type - Journals
eISSN - 1607-0798
pISSN - 1606-9749
DOI - 10.2166/ws.2022.243
Subject(s) - support vector machine , feature selection , computer science , random forest , machine learning , regression , feature (linguistics) , linear regression , regression analysis , data mining , statistics , mathematics , linguistics , philosophy
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