Browsing Lisansüstü Programlar Enstitüsü by Author "An empirical binary classification performance comparison of ensembling forest and gradient boosting with oversampling on scarcely populated datasets"

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An empirical binary classification performance comparison of ensembling random forest and gradient boosting with oversampling on scarcely populated datasets

Alp, Hande (Applied Data Science, 2020-08)

The purpose of this thesis is to present an empirical approach to do binary classification when the number of observations available in the dataset is small. In binary response classification, the statistical learning ...

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