What is cross statistics in SAP BI-RA-PA - SAP Predictive Analytics?

SAP Term: cross statistics

• Component: BI-RA-PA

• Component Name: SAP Predictive Analytics

• Description: Method of estimating the accuracy of a classification or regression model. The data set is divided into several parts, with each part in turn used to test a model fitted to the remaining parts.

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• Key Concepts: 
  Cross statistics is a feature of SAP Predictive Analytics that allows users to compare the performance of different models. It provides a graphical representation of the performance of each model, allowing users to quickly identify which model is best suited for their needs. The feature also allows users to compare the performance of different models across different data sets.
  
  How to use it: 
  To use cross statistics, users must first select the models they wish to compare. Once the models have been selected, users can then select the data sets they wish to compare the models against. The cross statistics feature will then generate a graphical representation of the performance of each model across the selected data sets. This allows users to quickly identify which model is best suited for their needs.
  
  Tips & Tricks: 
  When using cross statistics, it is important to ensure that all models being compared are using the same data set. This will ensure that the results are accurate and meaningful. Additionally, it is important to ensure that all models being compared are using the same parameters and settings. This will ensure that any differences in performance are due to differences in model structure and not due to differences in settings or parameters.
  
  Related Information: 
  Cross statistics is a feature of SAP Predictive Analytics that can be used in conjunction with other features such as model selection and optimization. Additionally, cross statistics can be used in conjunction with other features such as data visualization and data exploration.