What is error matrix in SAP BI-RA-PA - SAP Predictive Analytics?

SAP Term: error matrix

• Component: BI-RA-PA

• Component Name: SAP Predictive Analytics

• Description: Table that shows the performance of a classification algorithm by comparing the predicted value of the target variable with its actual value. Each column of the matrix represents the observations in a predicted class while each row represents the observations in an actual class or vice versa.

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• Key Concepts: 
  Error matrix is a tool used in SAP Predictive Analytics to evaluate the accuracy of a predictive model. It is a graphical representation of the errors made by the model when predicting outcomes. The error matrix shows the number of false positives, false negatives, true positives, and true negatives for each prediction. 
  
  How to use it: 
  To use the error matrix, you must first create a predictive model. Once the model is created, you can use the error matrix to evaluate its accuracy. The error matrix will show you how many false positives, false negatives, true positives, and true negatives were produced by the model. This information can be used to determine if the model is accurate enough for your needs. 
  
  Tips & Tricks: 
  When evaluating a predictive model using an error matrix, it is important to look at both the false positive and false negative rates. A high false positive rate indicates that the model is predicting too many outcomes incorrectly, while a high false negative rate indicates that the model is not predicting enough outcomes correctly. 
  
  Related Information: 
  The error matrix can be used in conjunction with other evaluation metrics such as precision and recall to get a more comprehensive view of a predictive model’s accuracy. Additionally, it can be used to compare different models and determine which one is most accurate for your needs.