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sdv.metrics.tabular.MulticlassDecisionTreeClassifier

class sdv.metrics.tabular.MulticlassDecisionTreeClassifier[source]

Multiclass DecisionTreeClassifier Efficacy based metric.

This fits a DecisionTreeClassifier to the training data and then evaluates it making predictions on the test data.

__init__()

Initialize self. See help(type(self)) for accurate signature.

Methods

SCORER(predictions)

Return the f1_score of the passed data.

__init__()

Initialize self.

compute(test_data, train_data[, metadata, …])

Compute this metric.

compute_breakdown(real_data, synthetic_data)

Compute this metric breakdown.

get_subclasses([include_parents])

Recursively find subclasses of this metric.

normalize(raw_score)

Return the raw_score as is, since it is already normalized.

Attributes

METRICS

MODEL_KWARGS

goal

max_value

min_value

name