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- Defined in:
Measurements of how well the
MLModel performed on known observations. One of the following metrics is returned, based on the type of the
BinaryAUC: The binary
MLModeluses the Area Under the Curve (AUC) technique to measure performance.
RegressionRMSE: The regression
MLModeluses the Root Mean Square Error (RMSE) technique to measure performance. RMSE measures the difference between predicted and actual values for a single variable.
MulticlassAvgFScore: The multiclass
MLModeluses the F1 score technique to measure performance.
For more information about performance metrics, please see the Amazon Machine Learning Developer Guide.