MulticlassClassificationMetrics Class

Definition

Namespace:

Microsoft.ML.Data

Assembly:

Microsoft.ML.Data.dll

Package:

Microsoft.ML v3.0.1

Evaluation results for multi-class classification trainers.

public sealed class MulticlassClassificationMetrics

type MulticlassClassificationMetrics = class

Public NotInheritable Class MulticlassClassificationMetrics

Inheritance

Object

MulticlassClassificationMetrics

Properties

ConfusionMatrix	The confusion matrix giving the counts of the predicted classes versus the actual classes.
LogLoss	Gets the average log-loss of the classifier. Log-loss measures the performance of a classifier with respect to how much the predicted probabilities diverge from the true class label. Lower log-loss indicates a better model. A perfect model, which predicts a probability of 1 for the true class, will have a log-loss of 0.
LogLossReduction	Gets the log-loss reduction (also known as relative log-loss, or reduction in information gain - RIG) of the classifier. It gives a measure of how much a model improves on a model that gives random predictions. Log-loss reduction closer to 1 indicates a better model.
MacroAccuracy	Gets the macro-average accuracy of the model.
MicroAccuracy	Gets the micro-average accuracy of the model.
PerClassLogLoss	Gets the log-loss of the classifier for each class. Log-loss measures the performance of a classifier with respect to how much the predicted probabilities diverge from the true class label. Lower log-loss indicates a better model. A perfect model, which predicts a probability of 1 for the true class, will have a log-loss of 0.
TopKAccuracy	Convenience method for "TopKAccuracyForAllK[TopKPredictionCount - 1]". If TopKPredictionCount is positive, this is the relative number of examples where the true label is one of the top K predicted labels by the predictor.
TopKAccuracyForAllK	Returns the top K accuracy for all K from 1 to the value of TopKPredictionCount.
TopKPredictionCount	If positive, this indicates the K in TopKAccuracy and TopKAccuracyForAllK.