What is score chart in SAP CEC-MKT-ML - Machine Learning?

SAP Term: score chart

• Component: CEC-MKT-ML

• Component Name: Machine Learning

• Description: A chart showing the trend of the scores at each interactions for a particular content.

Smart SAP Assistant

• Key Concepts: 
  Score chart is a component of the CEC-MKT-ML Machine Learning module in SAP. It is a graphical representation of the performance of a machine learning model. It displays the accuracy, precision, recall, and F1 score of the model on a single chart. 
  
  How to use it: 
  Score chart can be used to evaluate the performance of a machine learning model. It can be used to compare different models and identify which one performs better. The chart can also be used to identify areas where the model needs improvement. 
  
  Tips & Tricks: 
  When using score chart, it is important to remember that accuracy is not always the best measure of performance. Precision, recall, and F1 score are also important metrics that should be taken into consideration when evaluating a model's performance. 
  
  Related Information: 
  Score chart is related to other components of the CEC-MKT-ML Machine Learning module such as feature importance and confusion matrix. These components can be used in conjunction with score chart to gain a better understanding of the performance of a machine learning model.