Gradient Boosted Tree don't show the dependent variable in the resulting trees
Hello, i want to ask regarding Gradient Boosted model that i used for my study on corporate default risk. My dependent variable is default and non default and i use number 1 as default and 0 as non default. I already setup the data type as binominal for the default and non default. After i call the related operators such as select attributes, set roles and cross validation, all tree at the end of the result don't show the branches either it will become 1 or 0 as i assigned before. Below i share one of the Gradient Booted models
Figure 1: Tree for Gradient Boosted ModelHowever, i tried on other models such as decision tree and random forest. It give the desired result. Below is attachment of decision tree and random forest model
Figure 2: Tree for Decision Tree
Figure 3: Tree for Random Forest
So, i want to ask what is the reason that the 0 and 1 that i assigned before dont show up at the end of the branches in Gradient Boosted model but show up on other models? and Is there any operator that i need to call in the process? I hope that anyone can help me to find any way to solve this problem. Everyone is open to give help. Thank you in advance.