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PerformanceMetrics

import type { PerformanceMetrics } from "https://aws-api.deno.dev/v0.4/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?: {
[key: string]: string | null | undefined;
} | null;
}

§Properties

§
Properties?: {
[key: string]: string | null | undefined;
} | null
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