Training: Classification Trees

   
 What you will learn

• Description of known segmentation algorithms (CART, CHAID, AID)

• Highlighting the originality and effectiveness of the methods

• Comparison with multiple regression and linear discrimination procedures

• Implementation with Coheris SPAD 

 
 Program

• General concepts

• Discriminant by segmentation trees (CART and CHAID algorithms)

• Regression by segmentation tress (CART and AID algorithms)

• Exploitation of results: learning and validation

• Practicing the IDT and IRT methods in Coheris Spad (Interactive Decision Tree - Interactive Regression Tree) 

 
The aim

Predict a phenomenon using the decision tree technique

Determine the most rewarding or at risk segments using the most discriminant criteria

Highlight threshold effects 

Infos + 

• Training time: 2 days

• Dates
  26th and 27th of september