evaluate_classifiers¶
- tsml_eval.evaluation.evaluate_classifiers(classifier_results, save_path, error_on_missing=True, eval_name=None, estimator_names=None)[source]¶
Evaluate multiple classifiers on multiple datasets.
Writes multiple csv files and figures to save_path, one for each statistic evaluated. Provides a summary csv file with the average statistic and average rank for each classifier.
- Parameters:
- classifier_resultslist of ClassifierResults
The results to evaluate.
- save_pathstr
The path to save the evaluation results to.
- error_on_missingbool, default=True
Whether to raise an error if results are missing.
- eval_namestr, default=None
The name of the evaluation, used in save_path.
- estimator_nameslist of str, default=None
The names of the estimator for each classifier result. If None, uses the estimator_name attribute of each classifier result.