APA (7th ed.) Citation

Kivrak, M., Avci, U., Uzun, H., & Ardic, C. The Impact of the SMOTE Method on Machine Learning and Ensemble Learning Performance Results in Addressing Class Imbalance in Data Used for Predicting Total Testosterone Deficiency in Type 2 Diabetes Patients. MDPI AG.

Chicago Style (17th ed.) Citation

Kivrak, Mehmet, Ugur Avci, Hakki Uzun, and Cuneyt Ardic. The Impact of the SMOTE Method on Machine Learning and Ensemble Learning Performance Results in Addressing Class Imbalance in Data Used for Predicting Total Testosterone Deficiency in Type 2 Diabetes Patients. MDPI AG.

MLA (9th ed.) Citation

Kivrak, Mehmet, et al. The Impact of the SMOTE Method on Machine Learning and Ensemble Learning Performance Results in Addressing Class Imbalance in Data Used for Predicting Total Testosterone Deficiency in Type 2 Diabetes Patients. MDPI AG.