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DESCRIPTION
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DESCRIPTION
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Package: mlr3measures
Title: Performance Measures for 'mlr3'
Version: 1.0.0.9000
Authors@R: c(
person("Michel", "Lang", , "michellang@gmail.com", role = "aut",
comment = c(ORCID = "0000-0001-9754-0393")),
person("Martin", "Binder", , "mlr.developer@mb706.com", role = "ctb"),
person("Marc", "Becker", , "marcbecker@posteo.de", role = c("cre", "aut"),
comment = c(ORCID = "0000-0002-8115-0400")),
person("Lona", "Koers", , , role = "aut")
)
Description: Implements multiple performance measures for supervised
learning. Includes over 40 measures for regression and
classification. Additionally, meta information about the performance
measures can be queried, e.g. what the best and worst possible
performances scores are.
License: LGPL-3
URL: https:///mlr3measures.mlr-org.com,
https://github.com/mlr-org/mlr3measures
BugReports: https://github.com/mlr-org/mlr3measures/issues
Depends:
R (>= 3.1.0)
Imports:
checkmate,
mlr3misc,
PRROC
Suggests:
testthat (>= 3.0.0)
Config/testthat/edition: 3
Encoding: UTF-8
Roxygen: list(markdown = TRUE)
RoxygenNote: 7.3.2
Collate:
'assertions.R'
'bibentries.R'
'measures.R'
'binary_auc.R'
'binary_bbrier.R'
'binary_dor.R'
'binary_fbeta.R'
'binary_fdr.R'
'binary_fn.R'
'binary_fnr.R'
'binary_fomr.R'
'binary_fp.R'
'binary_fpr.R'
'binary_gmean.R'
'binary_gpr.R'
'binary_npv.R'
'binary_ppv.R'
'binary_prauc.R'
'binary_tn.R'
'binary_tnr.R'
'binary_tp.R'
'binary_tpr.R'
'classif_acc.R'
'classif_auc.R'
'classif_bacc.R'
'classif_ce.R'
'classif_logloss.R'
'classif_mbrier.R'
'classif_mcc.R'
'classif_zero_one.R'
'confusion_matrix.R'
'helper.R'
'regr_ae.R'
'regr_ape.R'
'regr_bias.R'
'regr_ktau.R'
'regr_linex.R'
'regr_mae.R'
'regr_mape.R'
'regr_maxae.R'
'regr_maxse.R'
'regr_medae.R'
'regr_medse.R'
'regr_mse.R'
'regr_msle.R'
'regr_pbias.R'
'regr_pinball.R'
'regr_rae.R'
'regr_rmse.R'
'regr_rmsle.R'
'regr_rrse.R'
'regr_rse.R'
'regr_rsq.R'
'regr_sae.R'
'regr_se.R'
'regr_sle.R'
'regr_smape.R'
'regr_srho.R'
'regr_sse.R'
'roxygen.R'
'similarity_jaccard.R'
'similarity_phi.R'
'zzz.R'