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

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 ...

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 ...

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 ...

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 ...

Classification and regression trees can identify 6-month mortality risk for patients with advanced hepatocellular carcinoma.

Dr. James McCaffrey of Microsoft Research presents the first in a series of four machine learning articles that detail a complete end-to-end production-quality example of neural regression using ...

The model based on Gaussian process (GP) prior and a kernel covariance function can be used to fit nonlinear data with multidimensional covariates. It has been used as a flexible nonparametric ...

Fintech Company Lantern Credit Announces Abstract Regression-Classification Machine Learning Library Acquisition March 7, 2017 @ 4:11 pm By Samantha Hurst ...