Class: Aws::MachineLearning::Types::PerformanceMetrics

Inherits:
Struct
  • Object
show all
Includes:
Structure
Defined in:
lib/aws-sdk-machinelearning/types.rb

Overview

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

Constant Summary collapse

SENSITIVE = 
[]

Instance Attribute Summary collapse

Instance Attribute Details

#properties ⇒ Hash<String,String>

Returns:

  • (Hash<String,String>) 


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# File 'lib/aws-sdk-machinelearning/types.rb', line 2644

class PerformanceMetrics < Struct.new(
  :properties)
  SENSITIVE = []
  include Aws::Structure
end