Gradient Boosted Tree don's give the final prediction
I want to ask regarding Gradient Boosted model that i used for my study on predicting 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. 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
So, my question is how does this happened and is there any way to solve this problem ? I really hope someone can help me to solve this problem because its important for my study since the due is so near. I'm really open to anyone to answer my question. Thank you in advance.