Variance Uncertainty Scorer

Calculates the variance uncertainty score of a class probability distribution. Input are rows containing class probabilities that must sum up to 1. The output will be one minus the variance of the probabilities, i.e., a lower variance means higher uncertainty.

Options

Column Selection
Include the columns containing the class probabilities. The values must sum up to 1 for each data row.
Output column name
Set the name of the appended output column.
Invalid Input Handling
Specify the action if a data row of the input is invalid. Invalid could mean a missing value in the input or an invalid distribution (the probabilities must sum up to 1). If Fail is selected, the node will fail. Otherwise, the node just gives a warning and puts missing values in the output for the corresponding rows.

Input Ports

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Table containing two or more columns containing class probabilities that sum up to 1.

Output Ports

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Input data with an appended column that contains the uncertainty score.

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