evaluation

openml.evaluations.evaluation

OpenMLEvaluation dataclass

OpenMLEvaluation(run_id: int, task_id: int, setup_id: int, flow_id: int, flow_name: str, data_id: int, data_name: str, function: str, upload_time: str, uploader: int, uploader_name: str, value: float | None, values: list[float] | None, array_data: str | None = None)

Contains all meta-information about a run / evaluation combination, according to the evaluation/list function

PARAMETER	DESCRIPTION
run_id	Refers to the run. TYPE: int
task_id	Refers to the task. TYPE: int
setup_id	Refers to the setup. TYPE: int
flow_id	Refers to the flow. TYPE: int
flow_name	Name of the referred flow. TYPE: str
data_id	Refers to the dataset. TYPE: int
data_name	The name of the dataset. TYPE: str
function	The evaluation metric of this item (e.g., accuracy). TYPE: str
upload_time	The time of evaluation. TYPE: str
uploader	Uploader ID (user ID) TYPE: int
upload_name	Name of the uploader of this evaluation TYPE: str
value	The value (score) of this evaluation. TYPE: float
values	The values (scores) per repeat and fold (if requested) TYPE: List[float]
array_data	list of information per class. (e.g., in case of precision, auroc, recall) TYPE: str DEFAULT: None