R: Generate threshold vs. performance(s) for 2-class...

generateThreshVsPerfData {mlr} | R Documentation

## Generate threshold vs. performance(s) for 2-class classification.

### Description

Generates data on threshold vs. performance(s) for 2-class classification that can be used for plotting.

### Usage

    generateThreshVsPerfData(obj, measures, gridsize = 100L,
      aggregate = TRUE, task.id = NULL)

### Arguments

`obj` | (list of Prediction | list of ResampleResult | BenchmarkResult) Single prediction object, list of them, single resample result, list of them, or a benchmark result. In case of a list probably produced by different learners you want to compare, then name the list with the names you want to see in the plots, probably learner shortnames or ids.
`measures` | (Measure | list of Measure) Performance measure(s) to evaluate. Default is the default measure for the task, see here getDefaultMeasure.
`gridsize` | (`integer(1)`) Grid resolution for x-axis (threshold). Default is 100.
`aggregate` | (`logical(1)`) Whether to aggregate ResamplePredictions or to plot the performance of each iteration separately. Default is `TRUE`.
`task.id` | (`character(1)`) Selected task in BenchmarkResult to do plots for, ignored otherwise. Default is first task.

### Value

(ThreshVsPerfData). A named list containing the measured performance across the threshold grid, the measures, and whether the performance estimates were aggregated (only applicable for (list of) ResampleResults).

### See Also

Other generate_plot_data: `generateCalibrationData`, `generateCritDifferencesData`, `generateFeatureImportanceData`, `generateFilterValuesData`, `generateLearningCurveData`, `generatePartialDependenceData`, `getFilterValues`, `plotFilterValues`

Other thresh_vs_perf: `plotROCCurves`, `plotThreshVsPerf`

[Package mlr version 2.13 Index]