Crate imbalanced_metrics

Performance metrics for imbalanced learning

This crate provides metrics specifically useful for evaluating models on imbalanced datasets.

Modules

prelude

Prelude module for convenient imports

Structs

AggregateMetrics

Aggregate metrics (macro/weighted averages)

ClassMetrics

Metrics for a single class

ClassificationReport

Classification report containing precision, recall, F1-score, and support

Functions

balanced_accuracy

Calculate balanced accuracy

classification_report

Generate classification report

confusion_matrix

Compute confusion matrix

f1_score

Calculate F1 score for binary or multiclass classification