Understanding Hedonic Regression in Pricing Models

Learn how hedonic regression helps estimate factors affecting prices in real estate and consumer goods, aiding in precise ...
Nature

Uncertain Regression Models and Imprecise Observations

Uncertain regression models represent an evolving paradigm in statistical analysis, designed to address the challenges posed by imprecise observations. Traditional regression techniques typically ...
ascopubs.org

Classification and Regression Trees to Predict for Survival for Patients With Hepatocellular Carcinoma Treated With Atezolizumab and Bevacizumab

Clinical Calculator for Predicting Freedom From Recurrence After Resection of Stage I-III Colon Cancer in Patients With Microsatellite Instability Systemic therapy with atezolizumab and bevacizumab ...
Visual Studio Magazine

Implementing k-NN Classification Using C#

Dr. James McCaffrey of Microsoft Research presents a full demo of k-nearest neighbors classification on mixed numeric and categorical data. Compared to other classification techniques, k-NN is easy to ...
Psychiatry Advisor

Accuracy of Machine Learning in Predicting CVD Risk in Bipolar Disease

Models using established cardiovascular disease risk factors had satisfactory predictive performance for 5-year CVD risk in ...