What is K-S test in SAP BI-RA-PA - SAP Predictive Analytics?

SAP Term: K-S test

• Component: BI-RA-PA

• Component Name: SAP Predictive Analytics

• Description: Kolmogorov-Smirnov test This statistic is applied as a measure of deviation from uniform response rates across categories of a variable. It is a non-parametric, exact goodness-of-fit statistic based on the maximum deviation between the cumulative and empirical distribution functions.

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• Key Concepts: 
  K-S test is a statistical test used to compare two probability distributions. It is used to determine whether two samples come from the same population or not. The K-S test is also known as the Kolmogorov-Smirnov test.
  
  How to use it: 
  The K-S test is used in SAP Predictive Analytics to compare two probability distributions. It can be used to determine whether two samples come from the same population or not. The K-S test is used to compare the cumulative distribution functions of two samples. The K-S test can also be used to compare the distributions of two variables in a single sample.
  
  Tips & Tricks: 
  When using the K-S test, it is important to ensure that the data sets being compared are of equal size and that they have been randomly sampled from the same population. Additionally, it is important to ensure that the data sets are independent of each other and that they have been normalized before being compared.
  
  Related Information: 
  The K-S test is related to other statistical tests such as the chi-square test and the t-test. Additionally, it can be used in conjunction with other predictive analytics techniques such as regression analysis and clustering.