R: Plot learning curve data using ggplot2.

plotLearningCurve {mlr} | R Documentation

## Plot learning curve data using ggplot2.

### Description

Visualizes data size (percentage used for model) vs. performance measure(s).

### Usage

    plotLearningCurve(obj, facet = "measure", pretty.names = TRUE,
      facet.wrap.nrow = NULL, facet.wrap.ncol = NULL)

### Arguments

`obj` | (LearningCurveData) Result of generateLearningCurveData, with class `LearningCurveData`.
`facet` | (`character(1)`) Selects “measure” or “learner” to be the facetting variable. The variable mapped to `facet` must have more than one unique value, otherwise it will be ignored. The variable not chosen is mapped to color if it has more than one unique value. The default is “measure”.
`pretty.names` | (`logical(1)`) Whether to use the Measure name instead of the id in the plot. Default is `TRUE`.
`facet.wrap.nrow, facet.wrap.ncol` | (integer) Number of rows and columns for facetting. Default for both is `NULL`. In this case ggplot's `facet_wrap` will choose the layout itself.

### Value

ggplot2 plot object.

### See Also

Other learning_curve: `generateLearningCurveData`

Other plot: `createSpatialResamplingPlots`, `plotBMRBoxplots`, `plotBMRRanksAsBarChart`, `plotBMRSummary`, `plotCalibration`, `plotCritDifferences`, `plotPartialDependence`, `plotROCCurves`, `plotResiduals`, `plotThreshVsPerf`

[Package mlr version 2.14.0 Index]