Tag: weighted
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Weighted MCC: A Robust Measure of Multiclass Classifier Performance for Observations with Individual Weights
Weighted MCC: A Robust Measure of Multiclass Classifier Performance for Observations with Individual Weights arXiv:2512.20811v1 Announce Type: new Abstract: Several performance measures are used to evaluate binary and multiclass classification tasks. But individual observations may often have distinct weights, and none of these measures are sensitive to such varying weights. We propose a new weighted…
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Generative Bayesian Hyperparameter Tuning
Generative Bayesian Hyperparameter Tuning arXiv:2512.20051v1 Announce Type: new Abstract: noindent Hyper-parameter selection is a central practical problem in modern machine learning, governing regularization strength, model capacity, and robustness choices. Cross-validation is often computationally prohibitive at scale, while fully Bayesian hyper-parameter learning can be difficult due to the cost of posterior sampling. We develop a generative…