text: Title: Logodds: difference between contributions plot and prediction box
  Body: From the code
  
  ![image](https://github.com/oegedijk/explainerdashboard/assets/145360667/44ae1a9d-5b54-46f7-8ed6-1233d933e4ff)
  
  I built an explainer dashboard, which includes the following outputs:
  
  <img width="497" alt="ExplainerDashboard_PredictionBox" src="https://github.com/oegedijk/explainerdashboard/assets/145360667/60cf5af5-0c9d-4f1f-acbc-54d9d5bbe82a">
  
  <img width="491" alt="ExplainerDashboard_ContributionsPlot" src="https://github.com/oegedijk/explainerdashboard/assets/145360667/310decbc-dea6-4869-9a1b-bb99661f8e3a">
  
  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?
  
  