class Aws::MachineLearning::Types::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].
[1]: docs.aws.amazon.com/machine-learning/latest/dg
@!attribute [rw] properties
@return [Hash<String,String>]
Constants
- SENSITIVE