generateCalibrationData(obj, breaks = "Sturges", groups = NULL, task.id = NULL)
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.character(1)
| numeric
]
If character(1)
, the algorithm to use in generating probability bins.
See hist
for details.
If numeric
, the cut points for the bins.
Default is Sturges.integer(1)
]
The number of bins to construct.
If specified, breaks
is ignored.
Default is NULL
.character(1)
]
Selected task in BenchmarkResult
to do plots for, ignored otherwise.
Default is first task.list
containing:plotCalibration
Other generate_plot_data: generateCritDifferencesData
,
generateFilterValuesData
,
generateFunctionalANOVAData
,
generateLearningCurveData
,
generatePartialDependenceData
,
generateThreshVsPerfData
,
getFilterValues