NAME

Paws::MachineLearning::GetEvaluationOutput

ATTRIBUTES

CreatedAt => Str

The time that the "Evaluation" was created. The time is expressed in epoch time.

CreatedByIamUser => Str

The AWS user account that invoked the evaluation. The account type can be either an AWS root account or an AWS Identity and Access Management (IAM) user account.

EvaluationDataSourceId => Str

The "DataSource" used for this evaluation.

EvaluationId => Str

The evaluation ID which is same as the "EvaluationId" in the request.

InputDataLocationS3 => Str

The location of the data file or directory in Amazon Simple Storage Service (Amazon S3).

LastUpdatedAt => Str

The time of the most recent edit to the "BatchPrediction". The time is expressed in epoch time.

LogUri => Str

A link to the file that contains logs of the CreateEvaluation operation.

Message => Str

A description of the most recent details about evaluating the "MLModel".

MLModelId => Str

The ID of the "MLModel" that was the focus of the evaluation.

Name => Str

A user-supplied name or description of the "Evaluation".

PerformanceMetrics => Paws::MachineLearning::PerformanceMetrics

Measurements of how well the "MLModel" performed using observations referenced by the "DataSource". One of the following metric is returned based on the type of the "MLModel":

BinaryAUC: A binary "MLModel" uses the Area Under the Curve (AUC) technique to measure performance.
RegressionRMSE: A 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: A multiclass "MLModel" uses the F1 score technique to measure performance.

For more information about performance metrics, please see the Amazon Machine Learning Developer Guide.

Status => Str

The status of the evaluation. This element can have one of the following values:

"PENDING" - Amazon Machine Language (Amazon ML) submitted a request to evaluate an "MLModel".
"INPROGRESS" - The evaluation is underway.
"FAILED" - The request to evaluate an "MLModel" did not run to completion. It is not usable.
"COMPLETED" - The evaluation process completed successfully.
"DELETED" - The "Evaluation" is marked as deleted. It is not usable.