mlrl.testbed_sklearn.experiments.output.evaluation.evaluation_result module

Author: Michael Rapp (michael.rapp.ml@gmail.com)

Provides classes for representing evaluation results that are part of output data.

class mlrl.testbed_sklearn.experiments.output.evaluation.evaluation_result.TabularEvaluationResult(measurements: Measurements)

Bases: EvaluationResult

Stores the evaluation results according to different measures.

KWARG_FOLD = 'fold_index'

OPTION_ACCURACY = 'accuracy'

OPTION_COVERAGE_ERROR = 'coverage_error'

OPTION_DISCOUNTED_CUMULATIVE_GAIN = 'dcg'

OPTION_EXAMPLE_WISE_F1 = 'example_wise_f1'

OPTION_EXAMPLE_WISE_JACCARD = 'example_wise_jaccard'

OPTION_EXAMPLE_WISE_PRECISION = 'example_wise_precision'

OPTION_EXAMPLE_WISE_RECALL = 'example_wise_recall'

OPTION_F1 = 'f1'

OPTION_HAMMING_ACCURACY = 'hamming_accuracy'

OPTION_HAMMING_LOSS = 'hamming_loss'

OPTION_JACCARD = 'jaccard'

OPTION_LABEL_RANKING_AVERAGE_PRECISION = 'lrap'

OPTION_MACRO_F1 = 'macro_f1'

OPTION_MACRO_JACCARD = 'macro_jaccard'

OPTION_MACRO_PRECISION = 'macro_precision'

OPTION_MACRO_RECALL = 'macro_recall'

OPTION_MEAN_ABSOLUTE_ERROR = 'mean_absolute_error'

OPTION_MEAN_ABSOLUTE_PERCENTAGE_ERROR = 'mean_absolute_percentage_error'

OPTION_MEAN_SQUARED_ERROR = 'mean_squared_error'

OPTION_MEDIAN_ABSOLUTE_ERROR = 'mean_absolute_error'

OPTION_MICRO_F1 = 'micro_f1'

OPTION_MICRO_JACCARD = 'micro_jaccard'

OPTION_MICRO_PRECISION = 'micro_precision'

OPTION_MICRO_RECALL = 'micro_recall'

OPTION_NORMALIZED_DISCOUNTED_CUMULATIVE_GAIN = 'ndcg'

OPTION_PRECISION = 'precision'

OPTION_PREDICTION_TIME = 'prediction_time'

OPTION_RANK_LOSS = 'rank_loss'

OPTION_RECALL = 'recall'

OPTION_SUBSET_ACCURACY = 'subset_accuracy'

OPTION_SUBSET_ZERO_ONE_LOSS = 'subset_zero_one_loss'

OPTION_TRAINING_TIME = 'training_time'

OPTION_ZERO_ONE_LOSS = 'zero_one_loss'

to_table(options: Options, **kwargs) → Table | None

See mlrl.testbed.experiments.output.data.TabularOutputData.to_table()

to_text(options: Options, **kwargs) → str | None

See mlrl.testbed.experiments.output.data.TextualOutputData.to_text()