# metrics¶

Signifies different scoring methods.

Functions

 Get type arguments with all substitutions performed.

Attributes

 auc Area under the curve - refers to the area under the receiver operating characteristic (ROC) curve. accuracy Accuracy - measures the share of accurate predictions as of total samples in the testing set. cross_entropy Cross entropy, also referred to as log-loss, is a measure of the likelihood of the classification model. mae Mean Absolute Error - measure of distance between two numerical targets. rmse Root Mean Squared Error - measure of distance between two numerical targets. rsquared $$R^{2}$$ - squared correlation coeefficient between predictions and targets.