Package adaa.analytics.rules.logic.performance

Class BinaryClassificationPerformance

java.lang.Object

adaa.analytics.rules.logic.performance.AbstractPerformanceCounter

adaa.analytics.rules.logic.performance.BinaryClassificationPerformance

public class BinaryClassificationPerformance
extends AbstractPerformanceCounter

This class encapsulates the well known binary classification criteria precision and recall. Furthermore it can be used to calculate the fallout, the equally weighted f-measure (f1-measure), the lift, and the values for TRUE_POSITIVE, FALSE_POSITIVE, TRUE_NEGATIVE, and FALSE_NEGATIVE. With "positive" we refer to the first class and with "negative" we refer to the second.

Field Summary

Fields

Modifier and Type	Field	Description
static final int	F_MEASURE
static final int	FALLOUT
static final int	FALSE_NEGATIVE
static final int	FALSE_POSITIVE
static final int	GEOMETRIC_MEAN
static final int	LIFT
static final String[]	NAMES
static final int	NEGATIVE_PREDICTIVE_VALUE
static final int	PRECISION
static final int	PSEP
static final int	SENSITIVITY
static final int	SPECIFICITY
static final int	TRUE_NEGATIVE
static final int	TRUE_POSITIVE
static final int	YOUDEN

Constructor Summary

Constructors

Constructor	Description
BinaryClassificationPerformance()
BinaryClassificationPerformance(int type)

Method Summary

Modifier and Type	Method	Description
PerformanceResult	countExample(IExampleSet eSet)	Counts a single example, e.g.
double	countResultValue()

Methods inherited from class java.lang.Object

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

Field Details

PRECISION

public static final int PRECISION

See Also:

• Constant Field Values

LIFT

public static final int LIFT

See Also:

• Constant Field Values

FALLOUT

public static final int FALLOUT

See Also:

• Constant Field Values

F_MEASURE

public static final int F_MEASURE

See Also:

• Constant Field Values

FALSE_POSITIVE

public static final int FALSE_POSITIVE

See Also:

• Constant Field Values

FALSE_NEGATIVE

public static final int FALSE_NEGATIVE

See Also:

• Constant Field Values

TRUE_POSITIVE

public static final int TRUE_POSITIVE

See Also:

• Constant Field Values

TRUE_NEGATIVE

public static final int TRUE_NEGATIVE

See Also:

• Constant Field Values

SENSITIVITY

public static final int SENSITIVITY

See Also:

• Constant Field Values

SPECIFICITY

public static final int SPECIFICITY

See Also:

• Constant Field Values

YOUDEN

public static final int YOUDEN

See Also:

• Constant Field Values

NEGATIVE_PREDICTIVE_VALUE

public static final int NEGATIVE_PREDICTIVE_VALUE

See Also:

• Constant Field Values

PSEP

public static final int PSEP

See Also:

• Constant Field Values

GEOMETRIC_MEAN

public static final int GEOMETRIC_MEAN

See Also:

• Constant Field Values

NAMES

public static final String[] NAMES

Constructor Details

BinaryClassificationPerformance

public BinaryClassificationPerformance()

BinaryClassificationPerformance

public BinaryClassificationPerformance(int type)

Method Details

countExample

public PerformanceResult countExample(IExampleSet eSet)

Description copied from class: AbstractPerformanceCounter

Counts a single example, e.g. by summing up errors.

Specified by:

countExample in class AbstractPerformanceCounter

countResultValue

public double countResultValue()