mlr3measures v0.3.1
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Performance Measures for 'mlr3'
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.
Readme
mlr3measures
Package website: release | dev
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. Internally, checkmate is used to check arguments efficiently - no other runtime dependencies.
The function reference gives an encompassing overview over implemented measures.
Note that explicitly loading this package is not required if you want to use any of these measures in mlr3.
Also note that we advise against attaching the package via library()
to avoid namespace clashes.
Instead, load the namespace via requireNamespace()
and use the ::
operator.
Functions in mlr3measures
Name | Description | |
bias | Bias | |
binary_params | Binary Classification Parameters | |
ce | Classification Error | |
bacc | Balanced Accuracy | |
bbrier | Binary Brier Score | |
auc | Area Under the ROC Curve | |
confusion_matrix | Calculate Binary Confusion Matrix | |
dor | Diagnostic Odds Ratio | |
acc | Classification Accuracy | |
classif_params | Classification Parameters | |
fpr | False Positive Rate | |
fn | False Negatives | |
ktau | Kendall's tau | |
maxae | Max Absolute Error | |
maxse | Max Squared Error | |
mbrier | Multiclass Brier Score | |
logloss | Log Loss | |
ppv | Positive Predictive Value | |
mae | Mean Absolute Errors | |
mcc | Matthews Correlation Coefficient | |
prauc | Area Under the Precision-Recall Curve | |
mse | Mean Squared Error | |
fdr | False Discovery Rate | |
fbeta | F-beta Score | |
medse | Median Squared Error | |
smape | Symmetric Mean Absolute Percent Error | |
fomr | False Omission Rate | |
mlr3measures-package | mlr3measures: Performance Measures for 'mlr3' | |
mape | Mean Absolute Percent Error | |
mauc_aunu | Multiclass AUC Scores | |
fp | False Positives | |
tnr | True Negative Rate | |
pbias | Percent Bias | |
tp | True Positives | |
npv | Negative Predictive Value | |
rmsle | Root Mean Squared Log Error | |
rmse | Root Mean Squared Error | |
rae | Relative Absolute Error | |
sse | Sum of Squared Errors | |
tn | True Negatives | |
regr_params | Regression Parameters | |
rrse | Root Relative Squared Error | |
rse | Relative Squared Error | |
msle | Mean Squared Log Error | |
tpr | True Positive Rate | |
measures | Measure Registry | |
rsq | R Squared | |
medae | Median Absolute Errors | |
fnr | False Negative Rate | |
sae | Sum of Absolute Errors | |
srho | Spearman's rho | |
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Details
License | LGPL-3 |
URL | https:///mlr3measures.mlr-org.com, https://github.com/mlr-org/mlr3measures |
BugReports | https://github.com/mlr-org/mlr3measures/issues |
Encoding | UTF-8 |
Config/testthat/edition | 3 |
RoxygenNote | 7.1.1 |
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_mcc.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' 'confusion_matrix.R' 'helper.R' 'regr_bias.R' 'regr_ktau.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_rae.R' 'regr_rmse.R' 'regr_rmsle.R' 'regr_rrse.R' 'regr_rse.R' 'regr_rsq.R' 'regr_sae.R' 'regr_smape.R' 'regr_srho.R' 'regr_sse.R' 'roxygen.R' 'zzz.R' |
NeedsCompilation | no |
Packaged | 2021-01-05 19:51:29 UTC; michel |
Repository | CRAN |
Date/Publication | 2021-01-06 16:00:37 UTC |
imports | checkmate , PRROC |
depends | R (>= 3.1.0) |
suggests | testthat (>= 3.0.0) |
Contributors | Martin Binder |
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