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 ...

Peter Bühlmann, Bin Yu, Boosting with the L₂ Loss: Regression and Classification, Journal of the American Statistical Association, Vol. 98, No. 462 (Jun., 2003 ...

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 ...

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 ...

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 ...

The simplest form of regression in Python is, well, simple linear regression. With simple linear regression, you're trying to ...

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 ...