# RegressionMetricsRegressionMetricsRegressionMetrics Class

## Definition

Evaluation results regression algorithms (supervised learning algorithm).

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

## Properties

 LossFunction LossFunction LossFunction Gets the result of user defined loss function. MeanAbsoluteError MeanAbsoluteError MeanAbsoluteError Gets the absolute loss of the model. MeanSquaredError MeanSquaredError MeanSquaredError Gets the squared loss of the model. RootMeanSquaredError RootMeanSquaredError RootMeanSquaredError Gets the root mean square loss (or RMS) which is the square root of the L2 loss. RSquared RSquared RSquared Gets the R squared value of the model, which is also known as the coefficient of determination​.