"I've often used linear regression for binary classification. Yes it's true that it maps from -inf to +inf instead of [0,1] (because of the logistic curve transformation), but I've had linear outperform logistic for classification in…"
Dean Abbott is President of Abbott Analytics, Inc. in San Diego, California. Mr. Abbott is an internationally recognized data mining and predictive analytics expert with over two decades experience applying advanced data mining algorithms, data preparation techniques, and data visualization methods to real-world data intensive problems, including fraud detection, risk modeling, text mining, personality assessment, response modeling, survey analysis, planned giving, and predictive toxicology. Mr. Abbott is also Co-Founder and Chief Scientist of SmarterRemarketer, a startup company focusing on behaviorally- and data-driven marketing attribution and web analytics.
Mr. Abbott is a highly-regarded and popular speaker and course instructor at venues including Predictive Analytics World, Text Analytics World, eMetrics Marketing Optimization Summit, DM Radio, UCSD Extension Program, Predictive Analytics Summit, the ACM Data Mining Bootcamp, Knowledge Discovery and Data Mining (KDD) conferences, The Data Warehouse Institute (TDWI) conferences, and data mining software users conferences. He has served multiples times on the program committee for the KDD Industrial Track and Data Mining Case Studies workshop, is on the Advisory Board for the UCSD Data Mining Certificate Program, and is also on the UCSD Data Analytics Advisory Board. Mr. Abbott also has taught applied data mining and text mining courses using data mining software tools including IBM SPSS Modeler, SAS Enterprise Miner, and Statsoft Statistica.