CrossValidationReport.metrics

CrossValidationReport.metrics()

Accessor for metrics-related operations.

You can access this accessor using the metrics attribute.

Methods

Here are the methods that are available through this accessor:

• help() – Display accessor help using rich or HTML

• summarize() – Report a set of metrics for our estimator

• accuracy() – Compute the accuracy score

• add() – Add a custom metric to summarize()

• available() – List available metric names in the registry

• brier_score() – Compute the Brier score

• confusion_matrix() – Plot the confusion matrix

• log_loss() – Compute the log loss

• mae() – Compute the mean absolute error

• mape() – Compute the mean absolute percentage error

• precision() – Compute the precision score

• precision_recall() – Plot the precision-recall curve

• prediction_error() – Plot the prediction error of a regression model

• r2() – Compute the R² score

• recall() – Compute the recall score

• remove() – Remove a metric from each underlying estimator report

• rmse() – Compute the root mean squared error

• roc() – Plot the ROC curve

• roc_auc() – Compute the ROC AUC score

• score() – Compute the estimator’s default score

• timings() – Get all measured processing times related to the estimator