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Component: BI-RA-PA
Component Name: SAP Predictive Analytics
Description: Ratio between the number of correctly classified records and the total number of records.
Key Concepts: Classification rate is a measure of accuracy used in SAP Predictive Analytics to evaluate the performance of a classification model. It is calculated by dividing the number of correctly classified instances by the total number of instances. It is expressed as a percentage. How to use it: Classification rate can be used to compare different models and determine which one is more accurate. It can also be used to evaluate the performance of a model over time, as it can be monitored and compared against previous results. Tips & Tricks: When using classification rate, it is important to consider other metrics such as precision, recall, and F1 score in order to get a more comprehensive view of the model’s performance. Related Information: Classification rate is related to other metrics such as precision, recall, and F1 score. It is also related to other measures of accuracy such as accuracy score and ROC AUC score.