17 search results - page 1 / 4 » Explaining the Result of a Decision Tree to the End-User |
ECAI
2004
Springer
13 years 10 months ago
2004
Springer
This paper addresses the problem of the explanation of the result given by a decision tree, when it is used to predict the class of new cases. In order to evaluate this result, the...
EXACT
2009
13 years 2 months ago
2009
This paper addresses the issue of the explanation of the result given to the end-user by a classifier, when it is used as a decision support system. We consider machine learning cl...
VL
2007
IEEE
13 years 11 months ago
2007
IEEE
There has been little research into how end-user programming environments can provide explanations that could fill a critical information gap for end-user debuggers – help with ...
SIGKDD
2000
13 years 4 months ago
2000
Kernel Miner is a new data-mining tool based on building the optimal decision forest. The tool won second place in the KDD'99 Classifier Learning Contest, August 1999. We des...
SDM
2010
SIAM
13 years 6 months ago
2010
SIAM
We propose a new decision tree algorithm, Class Confidence Proportion Decision Tree (CCPDT), which is robust and insensitive to class distribution and generates rules which are st...