Back to Results
First PageMeta Content
Naive Bayes classifier / Latin-derived alphabet / World glyph set / Statistics / Statistical classification / Receiver operating characteristic


AUC: a Statistically Consistent and more Discriminating Measure than Accuracy Charles X. Ling Jin Huang Department of Computer Science The University of Western Ontario London, Ontario, Canada N6A 5B7
Add to Reading List

Document Date: 2003-04-11 14:33:05


Open Document

File Size: 154,02 KB

Share Result on Facebook

Company

IOS Press / AAAI Press / /

Continent

Asia / /

Currency

USD / cent / /

/

Facility

Computer Science University of New Brunswick Fredericton / Computer Science The University of Western Ontario London / /

IndustryTerm

real-world applications / induction algorithms / classification algorithm / machine learning algorithms / classification learning algorithms / compared popular machine learning algorithms / learning algorithms / learning applications / /

MarketIndex

set 10 / /

Organization

Accuracy Charles X. Ling Jin Huang Department / University of Western Ontario London / Harry Zhang Faculty / Computer Science University of New Brunswick Fredericton / /

Person

Harry Zhang / X. Ling Jin Huang / Charles X. Ling / Morgan Kaufmann / /

Position

D. J. / editor / /

PublishedMedium

Machine Learning / Journal of Artificial Intelligence Research / /

Region

Western Ontario / /

Technology

machine learning algorithms / classification learning algorithms / designing learning algorithms / artificial intelligence / comparing induction algorithms / two machine learning algorithms / learning algorithms / two learning algorithms / data mining / comparing classification learning algorithms / machine learning / classification algorithm / /

SocialTag