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
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auPrc?: number
[src]The Area Under Precision-Recall Curve metric. Micro-averaged for the overall evaluation.
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auRoc?: number
[src]The Area Under Receiver Operating Characteristic curve metric. Micro-averaged for the overall evaluation.
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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.
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confusionMatrix?: GoogleCloudAiplatformV1SchemaModelevaluationMetricsConfusionMatrix
[src]Confusion matrix of the evaluation.