generateThreshVsPerfData
.plotThreshVsPerf(obj, facet = "measure", mark.th = NA_real_,
pretty.names = TRUE)
plotBMRBoxplots
,
plotBMRRanksAsBarChart
,
plotBMRSummary
,
plotCalibration
,
plotCritDifferences
,
plotFilterValuesGGVIS
,
plotFilterValues
,
plotLearningCurveGGVIS
,
plotLearningCurve
,
plotPartialPredictionGGVIS
,
plotPartialPrediction
,
plotROCCurves
,
plotROCRCurvesGGVIS
,
plotROCRCurves
,
plotThreshVsPerfGGVIS
Other thresh_vs_perf: generateThreshVsPerfData
,
plotROCCurves
,
plotThreshVsPerfGGVIS
lrn = makeLearner("classif.rpart", predict.type = "prob")
mod = train(lrn, sonar.task)
pred = predict(mod, sonar.task)
pvs = generateThreshVsPerfData(pred, list(acc, setAggregation(acc, train.mean)))
plotThreshVsPerf(pvs)
Run the code above in your browser using DataLab