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BinaryClassificationCatalog.Evaluate 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.

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

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.

probabilityColumnName
String

The name of the probability column in data, the calibrated version of scoreColumnName.

predictedLabelColumnName
String

The name of the predicted label column in data.

Returns

CalibratedBinaryClassificationMetrics

The evaluation results for these calibrated outputs.

Applies to