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TableOfConfusion_Histograms


Module: FoundationPro

Computes confusion matrix based on two histograms and threshold value.

Name Type Description
Input value inPositiveValues Histogram Pixels values under binary classification mask
Input value inNegativeValues Histogram Pixels values not covered by mask
Input value inThreshold Real
Output value outConfusionTable ConfusionTable

Errors

This filter can throw an exception to report error. Read how to deal with errors in Error Handling.

List of possible exceptions:

Error type Description
DomainError Histogram inNegativeValues is empty in TableOfConfusion_Histograms.
DomainError Histogram inPositiveValues is empty in TableOfConfusion_Histograms.
DomainError Histograms inPositiveValues and inNegativeValues has different domain in TableOfConfusion_Histograms.
DomainError inThreshold is larger than domain end in TableOfConfusion_Histograms.
DomainError inThreshold is smaller than domain start in TableOfConfusion_Histograms.

Complexity Level

This filter is available on Advanced Complexity Level.

Filter Group

This filter is member of TableOfConfusion filter group.