machinelearning/aws.sdk.kotlin.services.machinelearning.model/Evaluation/Builder/performanceMetrics

performanceMetrics

fun performanceMetrics(block: PerformanceMetrics.Builder.() -> Unit)

construct an aws.sdk.kotlin.services.machinelearning.model.PerformanceMetrics inside the given block

var performanceMetrics: PerformanceMetrics?

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.