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MLModelis evaluated on a set of observations associated to a
DataSource. Like a
Evaluationcontains values for the Target Variable. The
Evaluationcompares the predicted result for each observation to the actual outcome and provides a summary so that you know how effective the
MLModelfunctions on the test data. Evaluation generates a relevant performance metric such as BinaryAUC, RegressionRMSE or MulticlassAvgFScore based on the corresponding
CreateEvaluation is an asynchronous operation. In response to
Amazon Machine Learning (Amazon ML) immediately returns and sets the evaluation status
PENDING. After the
Evaluation is created and ready for
use, Amazon ML sets the status to
You can use the GetEvaluation operation to check progress of the evaluation during the creation operation.
Version: (assembly version)
public class CreateEvaluationRequest : AmazonMachineLearningRequest IRequestEvents
The CreateEvaluationRequest type exposes the following members
Gets and sets the property EvaluationDataSourceId.
The ID of the
Gets and sets the property EvaluationId.
A user-supplied ID that uniquely identifies the
Gets and sets the property EvaluationName.
A user-supplied name or description of the
Gets and sets the property MLModelId.
The ID of the
The schema used in creating the
Supported in: 4.5, 4.0, 3.5