Ordinal regression and classification methods form a vital branch of statistical learning wherein the outcome variable possesses an inherent order. Unlike conventional classification problems, where ...

Logistic regression is a powerful statistical method that is used to model the probability that a set of explanatory (independent or predictor) variables predict data in an outcome (dependent or ...

In classification, our goal is to assign each observation in the test dataset to one of a number of pre-specified categories. We do so using information from the observed predictor variables (or ...

Objective Organ damage is a key determinant of poor prognosis and increased mortality in systemic lupus erythematosus (SLE).

One of the key findings is that raw accuracy in laboratory conditions does not guarantee stability in deployment. The study ...