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Component: BI-RA-PA
Component Name: SAP Predictive Analytics
Description: Percentage of sessions containing the consequent among those containing the antecedent. For example, if the set of items {A,B,C} is the antecedent and item D is the consequent, then the confidence of the rule {A,B,C}->D is the percentage of all the sessions containing {A,B,C} that also contain D. If 100 sessions contain {A,B,C} and 10 of those also contain D, the confidence is 10%.
Key Concepts: Confidence is a measure of the accuracy of a prediction made by SAP Predictive Analytics. It is expressed as a percentage, with higher percentages indicating more accurate predictions. The confidence level is determined by the algorithm used to make the prediction. How to use it: The confidence level can be used to determine the accuracy of a prediction made by SAP Predictive Analytics. If the confidence level is high, then the prediction is likely to be accurate. If the confidence level is low, then the prediction may not be reliable and should be further investigated. Tips & Tricks: When using SAP Predictive Analytics, it is important to pay attention to the confidence level of each prediction. If the confidence level is low, then it may be necessary to adjust the algorithm or data used in order to improve the accuracy of the prediction. Related Information: SAP Predictive Analytics provides a variety of algorithms that can be used to make predictions. Each algorithm has its own strengths and weaknesses, and it is important to choose an algorithm that best fits your needs in order to get accurate predictions with high confidence levels.