Margin Uncertainty Scorer

Calculates the margin uncertainty score of a class probability distribution. Input are rows containing class probabilities that must sum up to 1. The score is calculated as one minus the difference between the two classes with the highest probabilities, i.e., a low difference leads to a high 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.

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• 03_Active_Learning_Uncertainty_SamplingKNIME Hub

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