getml.pipeline.scores

Signifies different scoring methods

Variables

accuracy

Accuracy - measures the share of accurate predictions as of total samples in the testing set.

auc

Area under the curve - refers to the area under the receiver operating characteristic (ROC) curve.

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.