GoogleCloudAiplatformV1SchemaModelevaluationMetricsClassificationEvaluationMetrics
import type { GoogleCloudAiplatformV1SchemaModelevaluationMetricsClassificationEvaluationMetrics } from "https://googleapis.deno.dev/v1/aiplatform:v1.ts";
Metrics for classification evaluation results.
interface GoogleCloudAiplatformV1SchemaModelevaluationMetricsClassificationEvaluationMetrics {
auPrc?: number;
auRoc?: number;
confidenceMetrics?: GoogleCloudAiplatformV1SchemaModelevaluationMetricsClassificationEvaluationMetricsConfidenceMetrics[];
confusionMatrix?: GoogleCloudAiplatformV1SchemaModelevaluationMetricsConfusionMatrix;
logLoss?: number;
}§Properties
§
auPrc?: number
[src]The Area Under Precision-Recall Curve metric. Micro-averaged for the overall evaluation.
§
auRoc?: number
[src]The Area Under Receiver Operating Characteristic curve metric. Micro-averaged for the overall evaluation.
§
confidenceMetrics?: GoogleCloudAiplatformV1SchemaModelevaluationMetricsClassificationEvaluationMetricsConfidenceMetrics[]
[src]Metrics for each confidenceThreshold
in
0.00,0.05,0.10,...,0.95,0.96,0.97,0.98,0.99 and positionThreshold
=
INT32_MAX_VALUE. ROC and precision-recall curves, and other aggregated
metrics are derived from them. The confidence metrics entries may also be
supplied for additional values of positionThreshold
, but from these no
aggregated metrics are computed.
§
confusionMatrix?: GoogleCloudAiplatformV1SchemaModelevaluationMetricsConfusionMatrix
[src]Confusion matrix of the evaluation.