'Reduced error pruning' diaporamas de présentation

CISC 4631 Data Mining

CISC 4631 Data Mining. Lecture 05: Overfitting Evaluation: accuracy, precision, recall, ROC Theses slides are based on the slides by Tan, Steinbach and Kumar (textbook authors) Eamonn Koegh (UC Riverside) Raymond Mooney (UT Austin). Practical Issues of Classification.

767 views • 62 slides

Decision Tree Pruning

Decision Tree Pruning . Problem Statement. We like to output small decision tree Model Selection The building is done until zero training error Option I : Stop Early Small decrease in index function Cons: may miss structure Option 2: Prune after building. Pruning. Input: tree T

807 views • 24 slides

Friday, 02 February 2007 William H. Hsu Department of Computing and Information Sciences, KSU

411 views • 24 slides

Friday, 01 February 2008 William H. Hsu Department of Computing and Information Sciences, KSU

368 views • 24 slides

Wednesday, 21 May 2003 William H. Hsu Department of Computing and Information Sciences, KSU

242 views • 24 slides