Evaluation
import type { Evaluation } from "https://aws-api.deno.dev/v0.4/services/machinelearning.ts?docs=full";
Represents the output of GetEvaluation
operation.
The content consists of the detailed metadata and data file information and the current status of the Evaluation
.
§Properties
The time that the Evaluation
was created.
The time is expressed in epoch time.
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.
The ID of the DataSource
that is used to evaluate the MLModel
.
The location and name of the data in Amazon Simple Storage Server (Amazon S3) that is used in the evaluation.
The time of the most recent edit to the Evaluation
.
The time is expressed in epoch time.
Measurements of how well the MLModel
performed, using observations referenced by the DataSource
.
One of the following metrics 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.
The status of the evaluation. This element can have one of the following values:
PENDING
- Amazon Machine Learning (Amazon ML) submitted a request to evaluate anMLModel
.INPROGRESS
- The evaluation is underway.FAILED
- The request to evaluate anMLModel
did not run to completion. It is not usable.COMPLETED
- The evaluation process completed successfully.DELETED
- TheEvaluation
is marked as deleted. It is not usable.