Man pages for yardstick
Tidy Characterizations of Model Performance

accuracy	Accuracy
average_precision	Area under the precision recall curve
bal_accuracy	Balanced accuracy
brier_class	Brier score for classification models
brier_survival	Time-Dependent Brier score for right censored data
brier_survival_integrated	Integrated Brier score for right censored data
ccc	Concordance correlation coefficient
check_metric	Developer function for checking inputs in new metrics
classification_cost	Costs function for poor classification
class-metrics	Class metrics
concordance_survival	Concordance index for right-censored data
conf_mat	Confusion Matrix for Categorical Data
demographic_parity	Demographic parity
detection_prevalence	Detection prevalence
developer-helpers	Developer helpers
dynamic-survival-metrics	Dynamic survival metrics
equalized_odds	Equalized odds
equal_opportunity	Equal opportunity
fall_out	Fall-out (False Positive Rate)
f_meas	F Measure
gain_capture	Gain capture
gain_curve	Gain curve
get_metrics	Get all metrics of a given type
gini_coef	Normalized Gini coefficient
hpc_cv	Multiclass Probability Predictions
huber_loss	Huber loss
huber_loss_pseudo	Psuedo-Huber Loss
iic	Index of ideality of correlation
integrated-survival-metrics	Integrated survival metrics
j_index	J-index
kap	Kappa
lift_curve	Lift curve
linear-pred-survival-metrics	Linear predictor survival metrics
lung_surv	Survival Analysis Results
mae	Mean absolute error
mape	Mean absolute percent error
markedness	Markedness
mase	Mean absolute scaled error
mcc	Matthews correlation coefficient
metrics	General Function to Estimate Performance
metric_set	Combine metric functions
metric_summarizer	Developer function for summarizing new metrics
metric-summarizers	Developer function for summarizing new metrics
metric_tweak	Tweak a metric function
metric_vec_template	Developer function for calling new metrics
miss_rate	Miss rate (False Negative Rate)
mn_log_loss	Mean log loss for multinomial data
mpe	Mean percentage error
msd	Mean signed deviation
mse	Mean squared error
new_groupwise_metric	Create groupwise metrics
new-metric	Construct a new metric function
npv	Negative predictive value
numeric-metrics	Numeric metrics
ordered-prob-metrics	Ordered probability metrics
pathology	Liver Pathology Data
poisson_log_loss	Mean log loss for Poisson data
ppv	Positive predictive value
pr_auc	Area under the precision recall curve
pr_curve	Precision recall curve
precision	Precision
prob-metrics	Class probability metrics
quantile-metrics	Quantile metrics
ranked_prob_score	Ranked probability scores for ordinal classification models
recall	Recall
reexports	Objects exported from other packages
rmse	Root mean squared error
rmse_relative	Relative root mean squared error
roc_auc	Area under the receiver operator curve
roc_auc_survival	Time-Dependent ROC AUC for Censored Data
roc_aunp	Area under the ROC curve of each class against the rest,...
roc_aunu	Area under the ROC curve of each class against the rest,...
roc_curve	Receiver operator curve
roc_curve_survival	Time-Dependent ROC surve for Censored Data
roc_dist	Distance to ROC corner
royston_survival	Royston-Sauerbei D statistic
rpd	Ratio of performance to deviation
rpiq	Ratio of performance to inter-quartile
rsq	R squared
rsq_trad	R squared - traditional
sedi	Symmetric Extremal Dependence Index
sens	Sensitivity
smape	Symmetric mean absolute percentage error
solubility_test	Solubility Predictions from MARS Model
spec	Specificity
static-survival-metrics	Static survival metrics
summary.conf_mat	Summary Statistics for Confusion Matrices
two_class_example	Two Class Predictions
weighted_interval_score	Compute weighted interval score
yardstick-package	yardstick: Tidy Characterizations of Model Performance
yardstick_remove_missing	Developer function for handling missing values in new metrics