(AI Studio Core)
Synopsis
This operator is used to convert a performance vector as produced by a Performance operator into an example set.Description
The operator creates an example set which contains one row for each performance criterion in the input data and a set of columns: the Criterion column contains the name of the criterion whereas Value, Standard Deviation and Variance list the value and the statistical properties of it.
Input
performance vector (Performance Vector)This port expects a Performance Vector. It is the output of the Validation operator in the attached Example Process. The output of other Performance operators can also be used as input.
Output
example set (Data table)The ExampleSet which results from the conversion of the Performance Vector.
- performance vector (Performance Vector)
The performance vector that was given as input is passed without changing to the output through this port. This is usually used to reuse the same performance vector in further operators or to view it in the Results Workspace.
Tutorial Processes
Assessing the performance of a prediction
This process is composed from three parts: a Retrieve operator which retrieves the Sonar example data set, a Cross Validation operator which evaluates a simple Naive Bayes model, and the Performance to Data operator.
The Performance to Data operator simply converts the performance vector which is output from the Cross Validation operator into an ExampleSet. You can see this ExampleSet and the original Performance Vector in the Result view.
