I built an explainer dashboard, which includes the following outputs:
The underlying problem is one of multiclassification, with classes 0, 1 and 2. The model used was LGBM.
In the previous images, I chose class 2 as the positive class. My question is why the logodd predicted in the Contributions Plot is different from the logodd of class 2 in the Prediction box and how is the first logodd calculated?
From the code
I built an explainer dashboard, which includes the following outputs:
The underlying problem is one of multiclassification, with classes 0, 1 and 2. The model used was LGBM.
In the previous images, I chose class 2 as the positive class. My question is why the logodd predicted in the Contributions Plot is different from the logodd of class 2 in the Prediction box and how is the first logodd calculated?