Effect of the Sampling of a Dataset in the Hyperparameter Optimization Phase over the Efficiency of a Machine Learning Algorithm
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DOI: 10.1155/2019/6278908
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References listed on IDEAS
- Zhun Cheng & Zhixiong Lu, 2018. "A Novel Efficient Feature Dimensionality Reduction Method and Its Application in Engineering," Complexity, Hindawi, vol. 2018, pages 1-14, October.
- Massimiliano Zanin & Miguel Romance & Santiago Moral & Regino Criado, 2018. "Credit Card Fraud Detection through Parenclitic Network Analysis," Complexity, Hindawi, vol. 2018, pages 1-9, May.
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Cited by:
- Yuchen Wang & Zhengshan Luo & Jihao Luo & Yiqiong Gao & Yulei Kong & Qingqing Wang, 2023. "Investigation of the Solubility of Elemental Sulfur (S) in Sulfur-Containing Natural Gas with Machine Learning Methods," IJERPH, MDPI, vol. 20(6), pages 1-21, March.
- Ángel Luis Muñoz Castañeda & Noemí DeCastro-García & David Escudero García, 2021. "RHOASo: An Early Stop Hyper-Parameter Optimization Algorithm," Mathematics, MDPI, vol. 9(18), pages 1-52, September.
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