Evaluation results regression algorithms (supervised learning algorithm).
public sealed class RegressionMetrics
type RegressionMetrics = class
Public NotInheritable Class RegressionMetrics
Gets the result of user defined loss function.
Gets the absolute loss of the model.
Gets the squared loss of the model.
Gets the root mean square loss (or RMS) which is the square root of the L2 loss MeanSquaredError.
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.