13 search results - page 1 / 3 » A note on split selection bias in classification trees |
CSDA
2004
13 years 4 months ago
2004
A common approach to split selection in classification trees is to search through all possible splits generated by predictor variables. A splitting criterion is then used to evalu...
CSDA
2008
13 years 4 months ago
2008
Tree models are valuable tools for predictive modeling and data mining. Traditional tree-growing methodologies such as CART are known to suffer from problems including greediness,...
CSDA
2007
13 years 4 months ago
2007
CSDA
2004
13 years 4 months ago
2004
The greedy search approach to variable selection in regression trees with constant fits is considered. At each node, the method usually compares the maximally selected statistic a...
ICDE
2000
IEEE
14 years 6 months ago
2000
IEEE
Most decision tree classifiers are designed to keep class histograms for single attributes, and to select a particular attribute for the next split using said histograms. In this ...