Creates a new Evaluation of an MLModel

Creates a new Evaluation of an MLModel. An MLModel is evaluated on a set of observations associated to a DataSource. Like a DataSource for an MLModel, the DataSource for an Evaluation contains values for the Target Variable. The Evaluation compares the predicted result for each observation to the actual outcome and provides a summary so that you know how effective the MLModel functions on the test data. Evaluation generates a relevant performance metric, such as BinaryAUC, RegressionRMSE or MulticlassAvgFScore based on the corresponding MLModelType: BINARY, REGRESSION or MULTICLASS.

See https://www.paws-r-sdk.com/docs/machinelearning_create_evaluation/ for full documentation.

Usage

machinelearning_create_evaluation(
  EvaluationId,
  EvaluationName = NULL,
  MLModelId,
  EvaluationDataSourceId
)

Arguments

EvaluationId

[required] A user-supplied ID that uniquely identifies the Evaluation.

EvaluationName

A user-supplied name or description of the Evaluation.

MLModelId

[required] The ID of the MLModel to evaluate.

The schema used in creating the MLModel must match the schema of the DataSource used in the Evaluation.

EvaluationDataSourceId

[required] The ID of the DataSource for the evaluation. The schema of the DataSource must match the schema used to create the MLModel.