Effective Rate of Minority Class Over-Sampling for Maximizing the Imbalanced Dataset Model Performance

Author:

Naim Forhad An,Hannan Ummae Hamida,Humayun Kabir Md.

Publisher

Springer Singapore

Reference20 articles.

1. How is big data analytics using machine learning? [Online]. Available: https://www.forbes.com/sites/forbestechcouncil/2020/10/20/how-is-big-data-analytics-using-machine-learning/?sh=26b6e21771d2. Accessed: 15 Jan 2021

2. Data is the new gold [Online]. Available: https://www2.deloitte.com/global/en/pages/real-estate/articles/future-real-estate-data-new-gold.html. Accessed: 15 Jan 2021

3. Ghorbani R, Ghousi R (2020) Comparing different resampling methods in predicting students performance using machine learning techniques. IEEE Access, pp 1–1. https://doi.org/10.1109/access.2020.2986809

4. Under-sampling algorithms for imbalanced classification [Online]. Available: https://machinelearningmastery.com/undersampling-algorithms-for-imbalanced-classification/. Accessed: 17 Jan 2021

5. Mohammed R, Rawashdeh J, Abdullah M (2020) Machine learning with oversampling and undersampling techniques: overview study and experimental results. In: 2020 11th international conference on information and communication systems (ICICS), pp 243–248. https://doi.org/10.1109/ICICS49469.2020.239556

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