.. _api.machine_learning.metrics:

===========
Metrics
===========






Regression
---------------


.. currentmodule:: vastorbit.machine_learning.metrics

.. autosummary::
   :toctree: api/

   aic_score
   anova_table
   bic_score
   explained_variance
   max_error
   mean_absolute_error
   mean_squared_error
   mean_squared_log_error
   median_absolute_error
   quantile_error
   r2_score
   regression_report


    
______


Classification
---------------

.. currentmodule:: vastorbit.machine_learning.metrics

.. autosummary::
   :toctree: api/

   accuracy_score
   balanced_accuracy_score
   best_cutoff
   classification_report
   confusion_matrix
   critical_success_index
   diagnostic_odds_ratio
   false_discovery_rate
   false_omission_rate
   false_negative_rate
   false_positive_rate
   f1_score
   fowlkes_mallows_index
   informedness
   log_loss
   markedness
   matthews_corrcoef
   negative_likelihood_ratio
   negative_predictive_score
   positive_likelihood_ratio
   precision_score
   prevalence_threshold
   prc_auc_score
   recall_score
   roc_auc_score
   specificity_score