Rank-Consistent Classifiers

Rank-consistent classifiers address the shortcomings of cross-entropy loss functions in multiclass classification tasks where class labels have an inherent order, such as age groups. These models ensure predicted probabilities align with the natural ordering of labels, improving performance and interpretability in ordinal datasets.