Evaluation results regression algorithms (supervised learning algorithm).
public sealed class RegressionMetrics
type RegressionMetrics = class
Public NotInheritable Class RegressionMetrics
|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.
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