- 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.
Constant Summary collapse
- SENSITIVE =
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 2921 class < Struct.new( :properties) =  include ::Structure end