55 search results - page 7 / 11 » A new metric splitting criterion for decision trees |
VLDB
1998
ACM
13 years 12 months ago
1998
ACM
Classification is an important problem in data mining. Given a database of records, each with a class label, a classifier generates a concise and meaningful description for each c...
BMCBI
2005
13 years 7 months ago
2005
Background: Structure-dependent substitution matrices increase the accuracy of sequence alignments when the 3D structure of one sequence is known, and are successful e.g. in fold ...
HIS
2008
13 years 9 months ago
2008
The class imbalance problem (when one of the classes has much less samples than the others) is of great importance in machine learning, because it corresponds to many critical app...
AUSAI
2006
Springer
13 years 11 months ago
2006
Springer
Decision tree-based probability estimation has received great attention because accurate probability estimation can possibly improve classification accuracy and probability-based r...
ICTAI
2006
IEEE
14 years 1 months ago
2006
IEEE
Existing work shows that classic decision trees have inherent deficiencies in obtaining a good probability-based ranking (e.g. AUC). This paper aims to improve the ranking perfor...