BinaryClassificationCatalog.EvaluateNonCalibrated(IDataView, String, String, String) BinaryClassificationCatalog.EvaluateNonCalibrated(IDataView, String, String, String) BinaryClassificationCatalog.EvaluateNonCalibrated(IDataView, String, String, String) Method

Definition

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 IDataView IDataView

The scored data.

labelColumnName
String String String

The name of the label column in data.

scoreColumnName
String String String

The name of the score column in data.

predictedLabelColumnName
String String String

The name of the predicted label column in data.

Returns

The evaluation results for these uncalibrated outputs.

Applies to