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.
Task
ML Efficacy Metrics
​Binary Classification​
BinaryAdaBoostClassifier, BinaryDecisionTreeClassifier, BinaryLogisticRegression, BinaryMLPClassifier
​Multiclass Classification​
MulticlassDecisionTreeClassifier, MulticlassMLPClassifier
​Regression​
LinearRegression, MLPRegressor
​

Task	ML Efficacy Metrics
Binary Classification	BinaryAdaBoostClassifier, BinaryDecisionTreeClassifier, BinaryLogisticRegression, BinaryMLPClassifier
Multiclass Classification	MulticlassDecisionTreeClassifier, MulticlassMLPClassifier
Regression	LinearRegression, MLPRegressor

ML Efficacy: Sequential

Binary Classification

Last modified 1yr ago