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Jan 1, 2006 · Spam filtering is a typical application for such a comparison tool, as it requires a classifier to be biased toward negative pre- diction and to ...
ABSTRACT. This paper presents False Positive-Critical Classifiers Com- parison a new technique for pairwise comparison of classi- fiers that allow the ...
Apr 23, 2006 · This paper presents False Positive-Critical Classifiers Comparison a new technique for pairwise comparison of classifiers that allow the ...
This paper presents False Positive-Critical Classifiers Comparison a new technique for pairwise comparison of classi- fiers that allow the control of bias.
This paper presents False Positive-Critical Classiflers Com- parison a new technique for pairwise comparison of classi- flers that allow the control of bias ...
Nov 27, 2023 · Another tool for comparing multiple methods is the Critical Difference Diagram (CDD), which is also available in scikit-posthocs. In the CDD, ...
Missing: methodology | Show results with:methodology
This paper provides a comprehensive survey of bias mitigation methods for achieving fairness in Machine Learning (ML) models.
2 days ago · We highlight that most bias mitigation techniques can achieve comparable performance, given the freedom to perform hyperparameter optimization, ...
Missing: methodology | Show results with:methodology
Feb 7, 2024 · This article provides a comprehensive guide on comparing two multi-class classification machine learning models using the UCI Iris Dataset.
This paper presents a comparison of the main classification techniques in the literature for the control of EOG-based human–computer interfaces (HCIs).