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BinaryClassificationCatalog.EvaluateNonCalibrated Method

  • Reference

Definition

Namespace:
Microsoft.ML
Assembly:
Microsoft.ML.Data.dll
Package:
Microsoft.ML v3.0.1
Package:
Microsoft.ML v1.0.0
Package:
Microsoft.ML v1.1.0
Package:
Microsoft.ML v1.2.0
Package:
Microsoft.ML v1.3.1
Package:
Microsoft.ML v1.4.0
Package:
Microsoft.ML v1.5.5
Package:
Microsoft.ML v1.6.0
Package:
Microsoft.ML v1.7.0
Package:
Microsoft.ML v2.0.0

Evaluates scored binary classification data, without probability-based metrics.

public Microsoft.ML.Data.BinaryClassificationMetrics EvaluateNonCalibrated (Microsoft.ML.IDataView data, string labelColumnName = "Label", string scoreColumnName = "Score", string predictedLabelColumnName = "PredictedLabel");
member this.EvaluateNonCalibrated : Microsoft.ML.IDataView * string * string * string -> Microsoft.ML.Data.BinaryClassificationMetrics
Public Function EvaluateNonCalibrated (data As IDataView, Optional labelColumnName As String = "Label", Optional scoreColumnName As String = "Score", Optional predictedLabelColumnName As String = "PredictedLabel") As BinaryClassificationMetrics

Parameters

data
IDataView

The scored data.

labelColumnName
String

The name of the label column in data.

scoreColumnName
String

The name of the score column in data.

predictedLabelColumnName
String

The name of the predicted label column in data.

Returns

BinaryClassificationMetrics

The evaluation results for these uncalibrated outputs.

Applies to