Data Mining Source Code : October 2004

09 October 2004 Upper confidence limit 25% (U25%) for pruning the C4.5 decision tree (how in VB?): Hi eveybody,
I'm almost finished implementing the C4.5 classification decision tree with VB6. Does anybody have any idea how to calculate the upper confidence limit 25% for the pruning process with VB? There are examples with Excel but I couldn't find any for VB. It's for a course project and the deadline is close, help please !!

Thanks,
Anita
0 Comments

Data Mining Source Code

data mining, data mining source code, algorithms, neural networks, decision trees, naive bayes, 1r, data mining algorithms, weka