What is score distribution in SAP CEC-MKT-ML-PRE - Predictive Studio?

SAP Term: score distribution

• Component: CEC-MKT-ML-PRE

• Component Name: Predictive Studio

• Description: A chart that shows the distribution of score values for the fit of a predictive model.

Smart SAP Assistant

• Key Concepts: 
  Score distribution is a feature of the Predictive Studio component of SAP CEC-MKT-ML-PRE. It is used to visualize the distribution of scores generated by a predictive model. It provides a graphical representation of the scores, which can be used to identify patterns and trends in the data. 
  
  How to use it: 
  Score distribution can be accessed from the Predictive Studio component of SAP CEC-MKT-ML-PRE. To use it, select the model you want to visualize and then click on the “Score Distribution” tab. This will open a graph that displays the distribution of scores generated by the model. 
  
  Tips & Tricks: 
  When using score distribution, it is important to remember that the scores are relative to each other and not absolute values. This means that a score of 0 does not necessarily mean that the prediction is wrong, but rather that it is less accurate than other predictions with higher scores. Additionally, it is important to remember that score distributions can be affected by outliers in the data, so it is important to check for outliers before interpreting the results. 
  
  Related Information: 
  Score distribution is related to other features of Predictive Studio such as feature importance and model evaluation. Feature importance can be used to identify which features are most important for making accurate predictions, while model evaluation can be used to measure how well a model performs on unseen data.