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- Title
Eigenvalue Distributions in Random Confusion Matrices: Applications to Machine Learning Evaluation.
- Authors
Olaniran, Oyebayo Ridwan; Alzahrani, Ali Rashash R.; Alzahrani, Mohammed R.
- Abstract
This paper examines the distribution of eigenvalues for a 2 × 2 random confusion matrix used in machine learning evaluation. We also analyze the distributions of the matrix's trace and the difference between the traces of random confusion matrices. Furthermore, we demonstrate how these distributions can be applied to calculate the superiority probability of machine learning models. By way of example, we use the superiority probability to compare the accuracy of four disease outcomes machine learning prediction tasks.
- Subjects
RANDOM matrices; DISTRIBUTION (Probability theory); EIGENVALUES; MACHINE learning; RANDOM forest algorithms
- Publication
Mathematics (2227-7390), 2024, Vol 12, Issue 10, p1425
- ISSN
2227-7390
- Publication type
Article
- DOI
10.3390/math12101425