Report for a comparison of EstimatorReport

The class ComparisonReport provides a report allowing to compare EstimatorReport instances in an interactive way. The functionalities of the report are accessible through accessors.

ComparisonReport(reports, *[, n_jobs])

Report for comparing reports.

Methods

ComparisonReport.help()	Display available methods using rich.
ComparisonReport.cache_predictions([...])	Cache the predictions for sub-estimators reports.
ComparisonReport.clear_cache()	Clear the cache.
ComparisonReport.get_predictions(*, data_source)	Get predictions from the underlying reports.

Accessors

ComparisonReport.metrics

Accessor for metrics-related operations.

Metrics

The metrics accessor helps you to evaluate the statistical performance of the compared estimators. In addition, we provide a sub-accessor plot, to get the common performance metric representations.

ComparisonReport.metrics.help()	Display available methods using rich.
ComparisonReport.metrics.summarize(*[, ...])	Report a set of metrics for the estimators.
ComparisonReport.metrics.custom_metric(...)	Compute a custom metric.
ComparisonReport.metrics.accuracy(*[, ...])	Compute the accuracy score.
ComparisonReport.metrics.brier_score(*[, ...])	Compute the Brier score.
ComparisonReport.metrics.log_loss(*[, ...])	Compute the log loss.
ComparisonReport.metrics.precision(*[, ...])	Compute the precision score.
ComparisonReport.metrics.r2(*[, ...])	Compute the R² score.
ComparisonReport.metrics.recall(*[, ...])	Compute the recall score.
ComparisonReport.metrics.rmse(*[, ...])	Compute the root mean squared error.
ComparisonReport.metrics.roc_auc(*[, ...])	Compute the ROC AUC score.
ComparisonReport.metrics.timings([aggregate])	Get all measured processing times related to the different estimators.