TrainingResultV2
import type { TrainingResultV2 } from "https://aws-api.deno.dev/v0.4/services/frauddetector.ts?docs=full";The training result details.
interface TrainingResultV2 {
aggregatedVariablesImportanceMetrics?: AggregatedVariablesImportanceMetrics | null;
dataValidationMetrics?: DataValidationMetrics | null;
trainingMetricsV2?: TrainingMetricsV2 | null;
variableImportanceMetrics?: VariableImportanceMetrics | null;
}§Properties
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aggregatedVariablesImportanceMetrics?: AggregatedVariablesImportanceMetrics | null
[src]The variable importance metrics of the aggregated variables.
Account Takeover Insights (ATI) model uses event variables from the login data you provide to continuously calculate a set of variables (aggregated variables) based on historical events.
For example, your ATI model might calculate the number of times an user has logged in using the same IP address.
In this case, event variables used to derive the aggregated variables are IP address and user.
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dataValidationMetrics?: DataValidationMetrics | null
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trainingMetricsV2?: TrainingMetricsV2 | null
[src]The training metric details.
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variableImportanceMetrics?: VariableImportanceMetrics | null
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