metrics

Signifies different scoring methods.

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.