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

Regression and Classification Course This online data science course will explore concepts in statistical modeling, such as when to use certain models, how to tune those models, and determining ...

Classification and Regression Trees (CART) Course Topics Classification and regression tree (CART) methods are a class of data mining techniques which constitute an alternative approach to classical ...

In classification each region is assigned a class, while in regression each region has its own distinct regression coefficients. Computational experimentations with generated and real data sets show ...

CHUNMING ZHANG, YUAN JIANG, YI CHAI, Penalized Bregman divergence for large-dimensional regression and classification, Biometrika, Vol. 97, No. 3 (SEPTEMBER 2010), pp. 551-566 ...

Logistic regression is a method for solving categorical classification problems that uses linear regression inside a sigmoid or logit function, which compresses the values to a range of 0 to 1 and ...

Purpose To build a decision tree for patients suspected of having prostate cancer using classification and regression tree (CART) analysis. Patients and Methods Data were uniformly collected on 1,433 ...

PURPOSESystemic therapy with atezolizumab and bevacizumab can extend life for patients with advanced hepatocellular carcinoma (HCC). However, there is substantial variability in response to therapy ...