RegressionMetrics Class

  • 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

Evaluation results regression algorithms (supervised learning algorithm).

public sealed class RegressionMetrics
type RegressionMetrics = class
Public NotInheritable Class RegressionMetrics
Inheritance
Object
RegressionMetrics

Properties

LossFunction

Gets the result of user defined loss function.
MeanAbsoluteError

Gets the absolute loss of the model.
MeanSquaredError

Gets the squared loss of the model.
RootMeanSquaredError

Gets the root mean square loss (or RMS) which is the square root of the L2 loss MeanSquaredError.
RSquared

Gets the R-squared value of the model, which is also known as the coefficient of determination​. R-Squared closer to 1 indicates a better fitted model.

Applies to