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Binary Classification Measures

auc()
Area Under the ROC Curve
bbrier()
Binary Brier Score
dor()
Diagnostic Odds Ratio
fbeta()
F-beta Score
fdr()
False Discovery Rate
fn()
False Negatives
fnr()
False Negative Rate
fomr()
False Omission Rate
fp()
False Positives
fpr()
False Positive Rate
mcc()
Matthews Correlation Coefficient
npv()
Negative Predictive Value
ppv() precision()
Positive Predictive Value
prauc()
Area Under the Precision-Recall Curve
tn()
True Negatives
tnr() specificity()
True Negative Rate
tp()
True Positives
tpr() recall() sensitivity()
True Positive Rate

Classification Measures

acc()
Classification Accuracy
bacc()
Balanced Accuracy
ce()
Classification Error
logloss()
Log Loss
mauc_aunu() mauc_aunp() mauc_au1u() mauc_au1p()
Multiclass AUC Scores
mbrier()
Multiclass Brier Score
zero_one()
Zero-One Classification Loss (per observation)

Regression Measures

ae()
Absolute Error (per observation)
ape()
Absolute Percentage Error (per observation)
bias()
Bias
ktau()
Kendall's tau
mae()
Mean Absolute Error
mape()
Mean Absolute Percent Error
maxae()
Max Absolute Error
maxse()
Max Squared Error
medae()
Median Absolute Error
medse()
Median Squared Error
mse()
Mean Squared Error
msle()
Mean Squared Log Error
pbias()
Percent Bias
rae()
Relative Absolute Error
rmse()
Root Mean Squared Error
rmsle()
Root Mean Squared Log Error
rrse()
Root Relative Squared Error
rse()
Relative Squared Error
rsq()
R Squared
sae()
Sum of Absolute Errors
se()
Squared Error (per observation)
sle()
Squared Log Error (per observation)
smape()
Symmetric Mean Absolute Percent Error
srho()
Spearman's rho
sse()
Sum of Squared Errors

Similarity Measures

jaccard()
Jaccard Similarity Index
phi()
Phi Coefficient Similarity

Misc

measures
Measure Registry
confusion_matrix()
Calculate Binary Confusion Matrix
mlr3measures mlr3measures-package
mlr3measures: Performance Measures for 'mlr3'