CalibratedBinaryClassificationMetrics
CalibratedBinaryClassificationMetrics
CalibratedBinaryClassificationMetrics
Class
Definition
Evaluation results for binary classifiers, including probabilistic metrics.
public sealed class CalibratedBinaryClassificationMetrics : Microsoft.ML.Data.BinaryClassificationMetrics
type CalibratedBinaryClassificationMetrics = class
inherit BinaryClassificationMetrics
Public NotInheritable Class CalibratedBinaryClassificationMetrics
Inherits BinaryClassificationMetrics
 Inheritance

CalibratedBinaryClassificationMetricsCalibratedBinaryClassificationMetricsCalibratedBinaryClassificationMetrics
Properties
Accuracy Accuracy Accuracy 
Gets the accuracy of a classifier which is the proportion of correct predictions in the test set. (Inherited from BinaryClassificationMetrics) 
AreaUnderPrecisionRecallCurve AreaUnderPrecisionRecallCurve AreaUnderPrecisionRecallCurve 
Gets the area under the precision/recall curve of the classifier. (Inherited from BinaryClassificationMetrics) 
AreaUnderRocCurve AreaUnderRocCurve AreaUnderRocCurve 
Gets the area under the ROC curve. (Inherited from BinaryClassificationMetrics) 
ConfusionMatrix ConfusionMatrix ConfusionMatrix 
The confusion matrix giving the counts of the true positives, true negatives, false positives and false negatives for the two classes of data. (Inherited from BinaryClassificationMetrics) 
Entropy Entropy Entropy 
Gets the testset entropy (prior LogLoss/instance) of the classifier. 
F1Score F1Score F1Score 
Gets the F1 score of the classifier. (Inherited from BinaryClassificationMetrics) 
LogLoss LogLoss LogLoss 
Gets the logloss of the classifier. 
LogLossReduction LogLossReduction LogLossReduction 
Gets the logloss reduction (also known as relative logloss, or reduction in information gain  RIG) of the classifier. 
NegativePrecision NegativePrecision NegativePrecision 
Gets the negative precision of a classifier which is the proportion of correctly predicted negative instances among all the negative predictions (i.e., the number of negative instances predicted as negative, divided by the total number of instances predicted as negative). (Inherited from BinaryClassificationMetrics) 
NegativeRecall NegativeRecall NegativeRecall 
Gets the negative recall of a classifier which is the proportion of correctly predicted negative instances among all the negative instances (i.e., the number of negative instances predicted as negative, divided by the total number of negative instances). (Inherited from BinaryClassificationMetrics) 
PositivePrecision PositivePrecision PositivePrecision 
Gets the positive precision of a classifier which is the proportion of correctly predicted positive instances among all the positive predictions (i.e., the number of positive instances predicted as positive, divided by the total number of instances predicted as positive). (Inherited from BinaryClassificationMetrics) 
PositiveRecall PositiveRecall PositiveRecall 
Gets the positive recall of a classifier which is the proportion of correctly predicted positive instances among all the positive instances (i.e., the number of positive instances predicted as positive, divided by the total number of positive instances). (Inherited from BinaryClassificationMetrics) 
Applies to
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