Sample

A Sample node enables you to sample data in one of the following ways:

• Random Sample: A sample in which every element of the data set has an equal chance of being selected.

• Top N Sample: The default sample that selects the first N values.

• Stratified Sample: A sample is created as follows:

  • First, the data set is divided into disjoint subsets or strata.

  • Then, a random sample is taken from each subsets.

  This technique is used when the distribution of target values is skewed greatly.
  For example, the response to a marketing campaign may have a positive target value of 1% of the time or less.

Sampling nested data is best done with a Case ID.

The Sample node can run in parallel.

This section has the following topics:

• Sample Nested Data

• Creating a Sample Node

• Edit Sample Node

• Sample Node Properties

• Sample Node Context Menu