Sensitivity based on the effect of noise perturbation on a measure.
This is a FeaturewiseMeasure that uses a scalar Measure and selective noise perturbation to compute a sensitivity map.
First the scalar Measure computed using the original dataset. Next the data measure is computed multiple times each with a single feature in the dataset perturbed by noise. The resulting difference in the scalar Measure is used as the sensitivity for the respective perturbed feature. Large differences are treated as an indicator of a feature having great impact on the scalar Measure.
Notes
The computed sensitivity map might have positive and negative values!
Available conditional attributes:
(Conditional attributes enabled by default suffixed with +)
Parameters : | datameasure : Measure
noise: Callable :
enable_ca : None or list of str
disable_ca : None or list of str
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Indicate that this measure is always trained.