Man pages for mlr3measures
Performance Measures for 'mlr3'

accClassification Accuracy
aucArea Under the ROC Curve
baccBalanced Accuracy
biasBias
binary_paramsBinary Classification Parameters
ceClassification Error
classif_paramsClassification Parameters
confusion_matrixCalculate Binary Confusion Matrix
dorDiagnostic Odds Ratio
fbetaF-beta Score
fdrFalse Discovery Rate
fnFalse Negatives
fnrFalse Negative Rate
fomrFalse Omission Rate
fpFalse Positives
fprFalse Positive Rate
ktauKendall's tau
loglossLog Loss
maeMean Absolute Errors
mapeMean Absolute Percent Error
maxaeMax Absolute Error
maxseMax Squared Error
mccMatthews Correlation Coefficient
measuresMeasure Registry
medaeMedian Absolute Errors
medseMedian Squared Error
mlr3measures-packagemlr3measures: Performance Measures for 'mlr3'
mseMean Squared Error
msleMean Squared Log Error
npvNegative Predictive Value
pbiasPercent Bias
ppvPositive Predictive Value
raeRelative Absolute Error
regr_paramsRegression Parameters
rmseRoot Mean Squared Error
rmsleRoot Mean Squared Log Error
rrseRoot Relative Squared Error
rseRelative Squared Error
rsqR Squared
saeSum of Absolute Errors
smapeSymmetric Mean Absolute Percent Error
srhoSpearman's rho
sseSum of Squared Errors
tnTrue Negatives
tnrTrue Negative Rate
tpTrue Positives
tprTrue Positive Rate
mlr3measures documentation built on Nov. 5, 2019, 9:06 a.m.