CrossValidationReport.metrics
=============================

.. currentmodule:: skore

.. autoaccessor:: CrossValidationReport.metrics


Methods
~~~~~~~

Here are the methods that are available through this accessor:


- :func:`~CrossValidationReport.metrics.help` -- Display accessor help using rich or HTML

- :func:`~CrossValidationReport.metrics.summarize` -- Report a set of metrics for our estimator

- :func:`~CrossValidationReport.metrics.accuracy` -- Compute the accuracy score

- :func:`~CrossValidationReport.metrics.add` -- Add a custom metric to :meth:`~skore.CrossValidationReport.metrics.summarize`

- :func:`~CrossValidationReport.metrics.available` -- List available metric names in the registry

- :func:`~CrossValidationReport.metrics.brier_score` -- Compute the Brier score

- :func:`~CrossValidationReport.metrics.confusion_matrix` -- Plot the confusion matrix

- :func:`~CrossValidationReport.metrics.log_loss` -- Compute the log loss

- :func:`~CrossValidationReport.metrics.mae` -- Compute the mean absolute error

- :func:`~CrossValidationReport.metrics.mape` -- Compute the mean absolute percentage error

- :func:`~CrossValidationReport.metrics.precision` -- Compute the precision score

- :func:`~CrossValidationReport.metrics.precision_recall` -- Plot the precision-recall curve

- :func:`~CrossValidationReport.metrics.prediction_error` -- Plot the prediction error of a regression model

- :func:`~CrossValidationReport.metrics.r2` -- Compute the R² score

- :func:`~CrossValidationReport.metrics.recall` -- Compute the recall score

- :func:`~CrossValidationReport.metrics.remove` -- Remove a metric from each underlying estimator report

- :func:`~CrossValidationReport.metrics.rmse` -- Compute the root mean squared error

- :func:`~CrossValidationReport.metrics.roc` -- Plot the ROC curve

- :func:`~CrossValidationReport.metrics.roc_auc` -- Compute the ROC AUC score

- :func:`~CrossValidationReport.metrics.score` -- Compute the estimator's default score

- :func:`~CrossValidationReport.metrics.timings` -- Get all measured processing times related to the estimator




.. toctree::
   :hidden:

   skore.CrossValidationReport.metrics.help
   skore.CrossValidationReport.metrics.summarize
   skore.CrossValidationReport.metrics.accuracy
   skore.CrossValidationReport.metrics.add
   skore.CrossValidationReport.metrics.available
   skore.CrossValidationReport.metrics.brier_score
   skore.CrossValidationReport.metrics.confusion_matrix
   skore.CrossValidationReport.metrics.log_loss
   skore.CrossValidationReport.metrics.mae
   skore.CrossValidationReport.metrics.mape
   skore.CrossValidationReport.metrics.precision
   skore.CrossValidationReport.metrics.precision_recall
   skore.CrossValidationReport.metrics.prediction_error
   skore.CrossValidationReport.metrics.r2
   skore.CrossValidationReport.metrics.recall
   skore.CrossValidationReport.metrics.remove
   skore.CrossValidationReport.metrics.rmse
   skore.CrossValidationReport.metrics.roc
   skore.CrossValidationReport.metrics.roc_auc
   skore.CrossValidationReport.metrics.score
   skore.CrossValidationReport.metrics.timings