yardstick

Accuracy

Area under the precision recall curve

Balanced accuracy

Concordance correlation coefficient

Costs function for poor classification

Confusion Matrix for Categorical Data

Detection prevalence

Developer helpers

F Measure

Gain capture

Gain curve

Multiclass Probability Predictions

Huber loss

Psuedo-Huber Loss

Index of ideality of correlation

J-index

Kappa

Lift curve

Mean absolute error

Mean absolute percent error

Mean absolute scaled error

Matthews correlation coefficient

Combine metric functions

Developer function for summarizing new metrics

Tweak a metric function

Developer function for calling new metrics

General Function to Estimate Performance

Mean log loss

Mean percentage error

Mean signed deviation

Construct a new metric function

Negative predictive value

Liver Pathology Data

Positive predictive value

Area under the precision recall curve

Precision recall curve

Precision

Recall

Objects exported from other packages

Root mean squared error

Area under the receiver operator curve

Area under the ROC curve of each class against the rest, using the a priori class distribution

Area under the ROC curve of each class against the rest, using the uniform class distribution

Receiver operator curve

Ratio of performance to deviation

Ratio of performance to inter-quartile

R squared

R squared - traditional

Sensitivity

Symmetric mean absolute percentage error

Solubility Predictions from MARS Model

Specificity

Summary Statistics for Confusion Matrices

Two Class Predictions