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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.
Instance Attribute Summary collapse
Instance Attribute Details
#properties ⇒ Hash<String,String>
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# File 'gems/aws-sdk-machinelearning/lib/aws-sdk-machinelearning/types.rb', line 2740 class < Struct.new( :properties) include ::Structure end