Classification Metrics

The imbens.metrics module includes score functions, performance metrics and pairwise metrics and distance computations.

sensitivity_specificity_support(y_true, ...)	Compute sensitivity, specificity, and support for each class
sensitivity_score(y_true, y_pred, *[, ...])	Compute the sensitivity
specificity_score(y_true, y_pred, *[, ...])	Compute the specificity
geometric_mean_score(y_true, y_pred, *[, ...])	Compute the geometric mean.
make_index_balanced_accuracy(*[, alpha, squared])	Balance any scoring function using the index balanced accuracy
classification_report_imbalanced(y_true, ...)	Build a classification report based on metrics used with imbalanced dataset
macro_averaged_mean_absolute_error(y_true, ...)	Compute Macro-Averaged Mean Absolute Error (MA-MAE) for imbalanced ordinal classification.