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ML Efficacy: Single Table

ML Efficacy describes a set of metrics that calculate the success of using synthetic data to perform an ML prediction task.
The metrics are different based on the algorithm they use for the calculation and the type of data that the machine learning model is predicting.
ML Efficacy Metrics
BinaryAdaBoostClassifier, BinaryDecisionTreeClassifier, BinaryLogisticRegression, BinaryMLPClassifier
MulticlassDecisionTreeClassifier, MulticlassMLPClassifier
LinearRegression, MLPRegressor