HMEASURE.NET
hmeasure.net - HomeTools and theory on measuring classification performance.
http://www.hmeasure.net/
Tools and theory on measuring classification performance.
http://www.hmeasure.net/
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hmeasure.net - Home | hmeasure.net Reviews
https://hmeasure.net
Tools and theory on measuring classification performance.
hmeasure.net
The H-Measure of Classification Performance
https://www.hmeasure.net/index.html
The H measure of classification performance. Information on theory and software related to the H measure of classification performance. The H-measure is a coherent alternative to the Area Under the ROC Curve (AUC) for measuring classification performance. Authors:. David J. Hand. Package: a fully documented R package may be downloaded from CRAN: http:/ cran.r-project.org/web/packages/hmeasure/. For manual downloads see below. Package (MAC OS / LINUX): hmeasure 1.0.tar.gz. The H-measure in one picture:.
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Mentat - Blog Old
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As promised in our previous blog post Flavours of Streaming Processing. In this post we report the performance of our weapon of choice when it comes to classification on data streams: the. Were introduced by Leo Breiman et al in 2001. They combine two of the most powerful ideas in classification, decision trees and bagging, to represent a decision rule as a kind of majority vote over a large number of different decision trees that are generated probabilistically. Which has become a benchmark in the strea...
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hmeasure.net - Home
Welcome to H-measure.net. This website is dedicated to the seemingly simple yet deeply challenging problem of measuring classification performance. What is a classifier? What is classification performance? What's wrong with error rates? What is the H-measure? The H-measure is a measure of classification performance proposed by D.J.Hand in this paper. And its variants, such as the Gini coefficient. Why does it matter? A large number of real-world decisions are being made using classification technology ev...
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