mlr (version 2.7)

plotROCCurves: Plots a ROC curve using ggplot2

Description

Plots a ROC curve from predictions.

Usage

plotROCCurves(obj, measures = obj$measures[1:2], diagonal = TRUE,
  pretty.names = TRUE)

Value

a ggvis plot object.

See Also

Other plot: plotBMRBoxplots, plotBMRRanksAsBarChart, plotBMRSummary, plotCalibration, plotCritDifferences, plotFilterValuesGGVIS, plotFilterValues, plotLearningCurveGGVIS, plotLearningCurve, plotPartialPredictionGGVIS, plotPartialPrediction, plotROCRCurvesGGVIS, plotROCRCurves, plotThreshVsPerfGGVIS, plotThreshVsPerf

Other thresh_vs_perf: generateThreshVsPerfData, plotThreshVsPerfGGVIS, plotThreshVsPerf

Examples

lrn = makeLearner("classif.rpart", predict.type = "prob")
fit = train(lrn, sonar.task)
pred = predict(fit, task = sonar.task)
roc = generateThreshVsPerfData(pred, list(fpr, tpr))
plotROCCurves(roc)

r = bootstrapB632plus(lrn, sonar.task, iters = 3)
roc_r = generateThreshVsPerfData(r, list(fpr, tpr), aggregate = FALSE)
plotROCCurves(roc_r)

r2 = crossval(lrn, sonar.task, iters = 3)
roc_l = generateThreshVsPerfData(list(boot = r, cv = r2), list(fpr, tpr), aggregate = FALSE)
plotROCCurves(roc_l)