The data doctor continues his exploration of Python-based machine learning techniques, explaining binary classification using logistic regression, which he likes for its simplicity. The goal of a ...

Four models on six public datasets: a majority-class guess, logistic regression, default boosted trees and a 200-fit tuned ...

AI success depends on whether enterprise data is ready, reachable, and close enough to the workloads that need it. In this eSpeaks episode, Dell Technologies’ Vrashank Jain explains why fragmented ...

Regression can be used on categorical responses to estimate probabilities and to classify. In recent columns we showed how linear regression can be used to predict a continuous dependent variable ...

Logistic regression is often used instead of Cox regression to analyse genome-wide association studies (GWAS) of single-nucleotide polymorphisms (SNPs) and disease outcomes with cohort and case-cohort ...