skdatasets.utils.experiment.ScoresInfo¶

class skdatasets.utils.experiment.ScoresInfo(dataset_names: Sequence[str], estimator_names: Sequence[str], scores: ndarray[Any, dtype[float]], scores_mean: ndarray[Any, dtype[float]], scores_std: ndarray[Any, dtype[float]])[source]¶

Class containing the scores of several related experiments.

dataset_names¶

Name of the datasets, with the same order in which are present in the rows of the scores.

estimator_names¶

Name of the estimators, with the same order in which are present in the columns of the scores.

scores¶

Test scores. It has size n_datasets \(\times\) n_estimators \(\times\) n_partitions.

scores_mean¶

Test score means. It has size n_datasets \(\times\) n_estimators.

scores_std¶

Test score standard deviations. It has size n_datasets \(\times\) n_estimators.

See also

__init__(dataset_names: Sequence[str], estimator_names: Sequence[str], scores: ndarray[Any, dtype[float]], scores_mean: ndarray[Any, dtype[float]], scores_std: ndarray[Any, dtype[float]]) → None¶

Methods

__init__(dataset_names, estimator_names, ...)

Attributes

scikit-datasets