NAME

Paws::MachineLearning::PerformanceMetrics

USAGE

This class represents one of two things:

Arguments in a call to a service

Use the attributes of this class as arguments to methods. You shouldn't make instances of this class. Each attribute should be used as a named argument in the calls that expect this type of object.

As an example, if Att1 is expected to be a Paws::MachineLearning::PerformanceMetrics object:

  $service_obj->Method(Att1 => { Properties => $value, ..., Properties => $value  });

Results returned from an API call

Use accessors for each attribute. If Att1 is expected to be an Paws::MachineLearning::PerformanceMetrics object:

  $result = $service_obj->Method(...);
  $result->Att1->Properties

DESCRIPTION

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 (https://docs.aws.amazon.com/machine-learning/latest/dg).

ATTRIBUTES

Properties => Paws::MachineLearning::PerformanceMetricsProperties

SEE ALSO

This class forms part of Paws, describing an object used in Paws::MachineLearning

BUGS and CONTRIBUTIONS

The source code is located here: https://github.com/pplu/aws-sdk-perl

Please report bugs to: https://github.com/pplu/aws-sdk-perl/issues