Reporting Statistical Validity and Model Complexity in Machine Learning based Computational Studies
(2017)
Presentation / Conference Contribution
Olorisade, B. K., Brereton, P., & Andras, P. (2017, June). Reporting Statistical Validity and Model Complexity in Machine Learning based Computational Studies. Presented at EASE'17: 21st International Conference on Evaluation and Assessment in Software Engineering, Karlskrona, Sweden
Background:: Statistical validity and model complexity are both important concepts to enhanced understanding and correctness assessment of computational models. However, information about these are often missing from publications applying machine lea... Read More about Reporting Statistical Validity and Model Complexity in Machine Learning based Computational Studies.