The impact of parameter optimization of ensemble learning on defect prediction
Machine learning algorithms have configurable parameters which are generally used with default settings by practitioners. Making modifications on the parameters of machine learning algorithm is called hyperparameter optimization (HO) performed to find out the most suitable parameter setting in class...
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| Format: | Article |
| Language: | English |
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Vladimir Andrunachievici Institute of Mathematics and Computer Science
2019-05-01
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| Series: | Computer Science Journal of Moldova |
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| Online Access: | http://www.math.md/files/csjm/v27-n1/v27-n1-(pp85-128).pdf |