PerformanceMetrics
import type { PerformanceMetrics } from "https://aws-api.deno.dev/v0.3/services/machinelearning.ts?docs=full";
Measurements of how well the MLModel
performed on known observations.
One of the following metrics is returned, based on the type of the MLModel
:
- BinaryAUC: The binary
MLModel
uses the Area Under the Curve (AUC) technique to measure performance. - RegressionRMSE: The 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: The multiclass
MLModel
uses the F1 score technique to measure performance.
For more information about performance metrics, please see the Amazon Machine Learning Developer Guide.
interface PerformanceMetrics {
Properties?: {} | null;
}[key: string]: string | null | undefined;