Receiver operating characteristic (ROC) and detection error tradeoff (DET) curves

Compute receiver operating characteristic (ROC) and detection error tradeoff (DET) curves. For more details see the Scikit-Learn user guide: Receiver operating characteristic (ROC) and Detection error tradeoff (DET). Note that observed classes and predicted class probabilities are matched by name.

Usage:

  1. Start the algorithm from the Processing Toolbox panel.

  2. Select a class probability layer and an observed categorized layer, then click run.

    ../../../../_images/rocdet.png

  3. The output report will automatically be opened in your web browser.

Parameters

Class probability layer [raster]

A class probability layer that is to be assessed.

Observed categorized layer [layer]

A categorized layer representing a (ground truth) observation sample.

Open output report in webbrowser after running algorithm [boolean]

Whether to open the output report in the web browser.

Default: True

Outputs

Output report [fileDestination]

Report file destination.

Command-line usage

>qgis_process help enmapbox:ReceiverOperatingCharacteristicRocAndDetectionErrorTradeoffDetCurves:

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Arguments
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regression: Class probability layer
    Argument type:  raster
    Acceptable values:
            - Path to a raster layer
reference: Observed categorized layer
    Argument type:  layer
    Acceptable values:
            - Path to a vector, raster or mesh layer
openReport: Open output report in webbrowser after running algorithm
    Default value:  true
    Argument type:  boolean
    Acceptable values:
            - 1 for true/yes
            - 0 for false/no
            - field:FIELD_NAME to use a data defined value taken from the FIELD_NAME field
            - expression:SOME EXPRESSION to use a data defined value calculated using a custom QGIS expression
outRocCurve: Output report
    Argument type:  fileDestination
    Acceptable values:
            - Path for new file

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Outputs
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outRocCurve: <outputHtml>
    Output report