(20700209), J. H., (20700212), R. H., & (20700215), F. N. (2025). The methodology for dividing the samples of datasets for evaluation in classification methods: (a) splitting the datasets into training and test sets for datasets with sufficient samples; (b) using k-fold cross-validation for evaluating datasets with fewer samples.
Chicago Style (17th ed.) Citation(20700209), Javad Hemmatian, Rassoul Hajizadeh (20700212), and Fakhroddin Nazari (20700215). The Methodology for Dividing the Samples of Datasets for Evaluation in Classification Methods: (a) Splitting the Datasets into Training and Test Sets for Datasets with Sufficient Samples; (b) Using K-fold Cross-validation for Evaluating Datasets with Fewer Samples. 2025.
MLA (9th ed.) Citation(20700209), Javad Hemmatian, et al. The Methodology for Dividing the Samples of Datasets for Evaluation in Classification Methods: (a) Splitting the Datasets into Training and Test Sets for Datasets with Sufficient Samples; (b) Using K-fold Cross-validation for Evaluating Datasets with Fewer Samples. 2025.