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» What ROC Curves Can't Do (and Cost Curves Can)
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ROCAI
2004
Springer
13 years 9 months ago
What ROC Curves Can't Do (and Cost Curves Can)
Abstract. This paper shows that ROC curves, as a method of visualizing classifier performance, are inadequate for the needs of Artificial Intelligence researchers in several sign...
Chris Drummond, Robert C. Holte
SDM
2007
SIAM
130views Data Mining» more  SDM 2007»
13 years 5 months ago
Maximizing the Area under the ROC Curve with Decision Lists and Rule Sets
Decision lists (or ordered rule sets) have two attractive properties compared to unordered rule sets: they require a simpler classification procedure and they allow for a more co...
Henrik Boström
CORR
2011
Springer
183views Education» more  CORR 2011»
12 years 8 months ago
Learning When Training Data are Costly: The Effect of Class Distribution on Tree Induction
For large, real-world inductive learning problems, the number of training examples often must be limited due to the costs associated with procuring, preparing, and storing the tra...
Foster J. Provost, Gary M. Weiss
CDC
2009
IEEE
126views Control Systems» more  CDC 2009»
13 years 9 months ago
The standard parts problem and the complexity of control communication
The objective of the standard parts optimal control problem is to find a number, m, of control inputs to a given input-output system that can be used in different combinations to...
John Baillieul, Wing Shing Wong