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CalibratedBinaryClassificationMetrics.Entropy Property

  • Reference

Definition

Namespace:
Microsoft.ML.Data
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

Gets the test-set entropy, which is the prior log-loss based on the proportion of positive and negative instances in the test set. A classifier's LogLoss lower than the entropy indicates that a classifier does better than predicting the proportion of positive instances as the probability for each instance.

public double Entropy { get; }
member this.Entropy : double
Public ReadOnly Property Entropy As Double

Property Value

Double

Remarks

$Entropy = -p log_2(p) - (1 - p) log_2(1 - p)$, where $p$ is the proportion of the positive class in the test set.

Applies to