`auswahl.benchmarking`.plot_score_vs_stability¶

auswahl.benchmarking.plot_score_vs_stability(pod: DataHandler, n_features: Optional[Union[int, Tuple[int]]] = None, dataset: Optional[str] = None, stability_metric: Optional[str] = None, regression_metric: Optional[str] = None, methods: Optional[Union[str, List[str]]] = None, save_path: Optional[str] = None)[source]¶

Plotting a boxplot for the benchmarked methods displaying

the mean regression score on the y-axis
- mean regression value
- (25,75) IQR as box
- (0, 100) range as whiskers
the stability score on the x-axis

Parameters

podDataHandler: DataHandler object containing the benchmarking data.
dataset: str: Dataset for which the data is to be plotted. If there is data for only one dataset in the DataHandler object, the argument does not have to be specified.
n_features: int or tuple of int: Number of features, which were to be selected by the algorithms. If there is data for only one feature configuration in the DataHandler object, the argument does not have to be specified.
stability_metricstr: Identifier of the stability metric to be plotted in the pod. If there is data for only one stability metric in the DataHandler object, the argument does not have to be specified.
regression_metricstr: Identifier of the regression metric to be plotted in the pod. If there is data for only one regression metric in the DataHandler object, the argument does not have to be specified.
methodsstr or list of str, default=None: Identifiers of methods for which the data is to be plotted. If None, all available methods are plotted.
save_path: str, default=None: Path at which the plot is stored. If None, the plot is just displayed.

Examples using `auswahl.benchmarking.plot_score_vs_stability`¶