PerformanceMetrics
Measurements of how well the MLModel
performed on known observations. One of the following metrics is returned, based on the type of the MLModel
:
-
BinaryAUC: The binary
MLModel
uses the Area Under the Curve (AUC) technique to measure performance. -
RegressionRMSE: The regression
MLModel
uses 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
MLModel
uses the F1 score technique to measure performance.
For more information about performance metrics, please see the Amazon Machine Learning Developer Guide.
Contents
See Also
For more information about using this API in one of the language-specific AWS SDKs, see the following: