Package jsat.regression.evaluation

Interface Summary

Interface	Description
RegressionScore	This interface defines the contract for evaluating or "scoring" the results on a regression problem.

Class Summary

Class	Description
CoefficientOfDetermination	Uses the Coefficient of Determination, also known as R2, is an evaluation score in [0,1].
MeanAbsoluteError	Uses the Mean of Absolute Errors between the predictions and the true values.
MeanSquaredError	Uses the Mean of the Squared Errors between the predictions and the true values.
RelativeAbsoluteError	Uses the Sum of Absolute Errors divided by the sum of the absolute value of the true values subtracted from their mean.
RelativeSquaredError	Uses the Sum of Squared Errors divided by the sum of the squared true values subtracted from their mean.
TotalHistoryRegressionScore	This abstract class provides the work for maintaining the history of predictions and their true values.