Classification of Biodegradable Substances Using Balanced Random Trees and Boosted C5.0 Decision Trees
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- Muhammad Salman Saeed & Mohd Wazir Mustafa & Usman Ullah Sheikh & Touqeer Ahmed Jumani & Ilyas Khan & Samer Atawneh & Nawaf N. Hamadneh, 2020. "An Efficient Boosted C5.0 Decision-Tree-Based Classification Approach for Detecting Non-Technical Losses in Power Utilities," Energies, MDPI, vol. 13(12), pages 1-19, June.
- Javad Hassannataj Joloudari & Edris Hassannataj Joloudari & Hamid Saadatfar & Mohammad Ghasemigol & Seyyed Mohammad Razavi & Amir Mosavi & Narjes Nabipour & Shahaboddin Shamshirband & Laszlo Nadai, 2020. "Coronary Artery Disease Diagnosis; Ranking the Significant Features Using a Random Trees Model," IJERPH, MDPI, vol. 17(3), pages 1-24, January.
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- Alaa M. Elsayad & Medien Zeghid & Hassan Yousif Ahmed & Khaled A. Elsayad, 2023. "Exploration of Biodegradable Substances Using Machine Learning Techniques," Sustainability, MDPI, vol. 15(17), pages 1-22, August.
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Keywords
QSAR; biodegradable substances; machine learning; random trees; C5.0 decision tree; support vector machine; K-nearest neighbors; discrimination analysis;All these keywords.
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