These classes capture splits, model fits, and audit diagnostics produced by
make_split_plan(), fit_resample(), and audit_leakage().
An S4 object of the respective class.
modeSplitting mode (e.g., "grouped_cv", "batch_blocked")
indicesList of resampling descriptors (train/test indices when available)
infoMetadata associated with split or fit
splitsA [`LeakSplits`] object used for resampling
metricsModel performance metrics per resample
metric_summarySummary of metrics across resamples
auditAudit information per resample
predictionsList of prediction objects
preprocessPreprocessing steps used during fitting
learnersLearner definitions used in the pipeline
outcomeOutcome variable name
taskModeling task name
feature_namesFeature names included in the model
infoAdditional metadata about the fit
fitA [`LeakFit`] object used to generate the audit
permutation_gapData frame summarising permutation gaps
perm_valuesNumeric vector of permutation-based scores
batch_assocData frame of batch associations
target_assocData frame of feature-wise outcome associations
duplicatesData frame detailing duplicate records
trailList capturing audit trail information
[make_split_plan()], [fit_resample()], [audit_leakage()]
[fit_resample()]
[audit_leakage()], [audit_report()]