Catalano.MachineLearning.Regression

Class RegressionMeasure

java.lang.Object

Catalano.MachineLearning.Regression.RegressionMeasure

public class RegressionMeasure
extends java.lang.Object

Regression Measure.

Constructor Summary

Constructors

Constructor and Description
RegressionMeasure(double mae, double mse, double rmse, double r2, double mda) Initializes a new instance of the RegressionMeasure class.

Method Summary

Modifier and Type	Method and Description
static double	CoefficientOfDetermination(double[] actual, double[] predicted)
double	getCoefficientOfDetermination() Get the coefficient of determination (R2).
double	getMeanAbsoluteError() Get the mean absolute error.
double	getMeanDirectionalAccuracy() Get the mean directional accuracy (MDA).
double	getMeanSquaredError() Get the mean squared error.
double	getRootMeanSquaredError() Get the root mean squared error.
static double	MeanAbsoluteError(double[] actual, double[] predicted)
static double	MeanDirectionalAccuracy(double[] actual, double[] predicted)
static double	MeanSquaredError(double[] actual, double[] predicted)
static double	NormalizedMeanSquareError(double[] actual, double[] predicted)
static double	RootMeanSquaredError(double[] actual, double[] predicted)

Methods inherited from class java.lang.Object

equals, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Detail

RegressionMeasure

public RegressionMeasure(double mae,
                         double mse,
                         double rmse,
                         double r2,
                         double mda)

Initializes a new instance of the RegressionMeasure class.

Parameters:

mae -

mse -

rmse -

r2 -

Method Detail

MeanAbsoluteError

public static double MeanAbsoluteError(double[] actual,
                                       double[] predicted)

MeanSquaredError

public static double MeanSquaredError(double[] actual,
                                      double[] predicted)

NormalizedMeanSquareError

public static double NormalizedMeanSquareError(double[] actual,
                                               double[] predicted)

RootMeanSquaredError

public static double RootMeanSquaredError(double[] actual,
                                          double[] predicted)

MeanDirectionalAccuracy

public static double MeanDirectionalAccuracy(double[] actual,
                                             double[] predicted)

CoefficientOfDetermination

public static double CoefficientOfDetermination(double[] actual,
                                                double[] predicted)

getMeanAbsoluteError

public double getMeanAbsoluteError()

Get the mean absolute error.

Returns:

Mean absolute error.

getMeanSquaredError

public double getMeanSquaredError()

Get the mean squared error.

Returns:

Mean squared error.

getRootMeanSquaredError

public double getRootMeanSquaredError()

Get the root mean squared error.

Returns:

Root mean squared error.

getCoefficientOfDetermination

public double getCoefficientOfDetermination()

Get the coefficient of determination (R2).

Returns:

Coefficient of determination.

getMeanDirectionalAccuracy

public double getMeanDirectionalAccuracy()

Get the mean directional accuracy (MDA).

Returns:

Mean Directional Accuracy.