What is 'impact' in SAP CEC-MKT-ML - Machine Learning?

impact - Overview

• Component: CEC-MKT-ML

• Component Name: Machine Learning

• Description: The impact of a certain interaction is the number of customers who experienced this interaction during the analysis period and churned afterwards

impact - Details

• 
  Key Concepts: 
  Impact is a term used to describe the effect of a change or action on a system. In the context of CEC-MKT-ML Machine Learning, impact refers to the effect that a machine learning algorithm has on the system. This could include changes in accuracy, speed, or other performance metrics. 
  
  How to use it: 
  When using CEC-MKT-ML Machine Learning, it is important to consider the impact of the algorithm on the system. This can be done by testing the algorithm on a sample dataset and measuring its performance metrics. Additionally, it is important to consider how changes in parameters or data can affect the impact of the algorithm. 
  
  Tips & Tricks: 
  When evaluating the impact of an algorithm, it is important to consider both short-term and long-term effects. Short-term effects may include changes in accuracy or speed, while long-term effects may include changes in scalability or robustness. Additionally, it is important to consider how changes in data or parameters can affect the impact of an algorithm. 
  
  Related Information: 
  For more information about impact in CEC-MKT-ML Machine Learning, please refer to the official SAP documentation. Additionally, there are many online resources available that provide tutorials and tips for understanding and using machine learning algorithms.