R/generateThreshVsPerf.R
Plots a ROC curve from predictions.
plotROCCurves(obj, measures, diagonal = TRUE, pretty.names = TRUE, facet.learner = FALSE)
obj | (ThreshVsPerfData) |
---|---|
measures | ([list(2)` of Measure) |
diagonal | ( |
pretty.names | ( |
facet.learner | ( |
ggplot2 plot object.
Other plot: createSpatialResamplingPlots
,
plotBMRBoxplots
,
plotBMRRanksAsBarChart
,
plotBMRSummary
,
plotCalibration
,
plotCritDifferences
,
plotLearningCurve
,
plotPartialDependence
,
plotResiduals
,
plotThreshVsPerf
Other thresh_vs_perf: generateThreshVsPerfData
,
plotThreshVsPerf
#> Error: Please use column names for `x`#> Error in predict(fit, task = sonar.task): object 'fit' not found#> Error in generateThreshVsPerfData(pred, list(fpr, tpr)): object 'pred' not foundplotROCCurves(roc)#> Error in checkClass(x, classes, ordered, null.ok): object 'roc' not found#>#>#>#>#>#>#>#>#>#>#>#>#>#>#>#>roc_l = generateThreshVsPerfData(list(boot = r, cv = r2), list(fpr, tpr), aggregate = FALSE) plotROCCurves(roc_l)