weka.classifiers.meta.multisearch

Class DefaultEvaluationMetrics

java.lang.Object

weka.classifiers.meta.multisearch.AbstractEvaluationMetrics

weka.classifiers.meta.multisearch.DefaultEvaluationMetrics

All Implemented Interfaces:

Serializable

public class DefaultEvaluationMetrics
extends AbstractEvaluationMetrics

Default metrics.

Version:

$Revision$

Author:

FracPete (fracpete at waikato dot ac dot nz)

See Also:

Serialized Form

Field Summary

Fields

Modifier and Type	Field and Description
static int	EVALUATION_ACC evaluation via: Accuracy.
static int	EVALUATION_AUC evaluation via: AUC.
static int	EVALUATION_CC evaluation via: Correlation coefficient.
static int	EVALUATION_COMBINED evaluation via: Combined = (1-CC) + RRSE + RAE.
static int	EVALUATION_FALSE_NEGATIVE_RATE evaluation via: false negative rate.
static int	EVALUATION_FALSE_POSITIVE_RATE evaluation via: false positive rate.
static int	EVALUATION_FMEASURE evaluation via: FMeasure.
static int	EVALUATION_KAPPA evaluation via: Kappa statistic.
static int	EVALUATION_MAE evaluation via: Mean absolute error.
static int	EVALUATION_MATTHEWS_CC evaluation via: Matthews Correlation coefficient.
static int	EVALUATION_PRC evaluation via: PRC.
static int	EVALUATION_PRECISION evaluation via: precision.
static int	EVALUATION_RAE evaluation via: Relative absolute error.
static int	EVALUATION_RECALL evaluation via: recall.
static int	EVALUATION_RMSE evaluation via: Root mean squared error.
static int	EVALUATION_RRSE evaluation via: Root relative squared error.
static int	EVALUATION_TRUE_NEGATIVE_RATE evaluation via: true negative rate.
static int	EVALUATION_TRUE_POSITIVE_RATE evaluation via: true positive rate.
static int	EVALUATION_WEIGHTED_AUC evaluation via: weighted AUC.
static int	EVALUATION_WEIGHTED_FMEASURE evaluation via: weighted FMeasure.
static int	EVALUATION_WEIGHTED_PRC evaluation via: weighted PRC.
static int	EVALUATION_WEIGHTED_PRECISION evaluation via: weighted precision.
static int	EVALUATION_WEIGHTED_RECALL evaluation via: weighted recall.

Constructor Summary

Constructors

Constructor and Description
DefaultEvaluationMetrics()

Method Summary

Modifier and Type	Method and Description
int	getDefaultMetric() Returns the ID of default metric to use.
weka.core.Tag[]	getTags() Returns the tags to used in the GUI.
boolean	invert(int id) Returns whether to negate the metric for sorting purposes.

Methods inherited from class weka.classifiers.meta.multisearch.AbstractEvaluationMetrics

check, invert

Methods inherited from class java.lang.Object

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

Field Detail

EVALUATION_CC

public static final int EVALUATION_CC

evaluation via: Correlation coefficient.

See Also:

Constant Field Values

EVALUATION_RMSE

public static final int EVALUATION_RMSE

evaluation via: Root mean squared error.

See Also:

Constant Field Values

EVALUATION_RRSE

public static final int EVALUATION_RRSE

evaluation via: Root relative squared error.

See Also:

Constant Field Values

EVALUATION_MAE

public static final int EVALUATION_MAE

evaluation via: Mean absolute error.

See Also:

Constant Field Values

EVALUATION_RAE

public static final int EVALUATION_RAE

evaluation via: Relative absolute error.

See Also:

Constant Field Values

EVALUATION_COMBINED

public static final int EVALUATION_COMBINED

evaluation via: Combined = (1-CC) + RRSE + RAE.

See Also:

Constant Field Values

EVALUATION_ACC

public static final int EVALUATION_ACC

evaluation via: Accuracy.

See Also:

Constant Field Values

EVALUATION_KAPPA

public static final int EVALUATION_KAPPA

evaluation via: Kappa statistic.

See Also:

Constant Field Values

EVALUATION_AUC

public static final int EVALUATION_AUC

evaluation via: AUC.

See Also:

Constant Field Values

EVALUATION_WEIGHTED_AUC

public static final int EVALUATION_WEIGHTED_AUC

evaluation via: weighted AUC.

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Constant Field Values

EVALUATION_PRC

public static final int EVALUATION_PRC

evaluation via: PRC.

See Also:

Constant Field Values

EVALUATION_WEIGHTED_PRC

public static final int EVALUATION_WEIGHTED_PRC

evaluation via: weighted PRC.

See Also:

Constant Field Values

EVALUATION_FMEASURE

public static final int EVALUATION_FMEASURE

evaluation via: FMeasure.

See Also:

Constant Field Values

EVALUATION_WEIGHTED_FMEASURE

public static final int EVALUATION_WEIGHTED_FMEASURE

evaluation via: weighted FMeasure.

See Also:

Constant Field Values

EVALUATION_MATTHEWS_CC

public static final int EVALUATION_MATTHEWS_CC

evaluation via: Matthews Correlation coefficient.

See Also:

Constant Field Values

EVALUATION_PRECISION

public static final int EVALUATION_PRECISION

evaluation via: precision.

See Also:

Constant Field Values

EVALUATION_WEIGHTED_PRECISION

public static final int EVALUATION_WEIGHTED_PRECISION

evaluation via: weighted precision.

See Also:

Constant Field Values

EVALUATION_RECALL

public static final int EVALUATION_RECALL

evaluation via: recall.

See Also:

Constant Field Values

EVALUATION_WEIGHTED_RECALL

public static final int EVALUATION_WEIGHTED_RECALL

evaluation via: weighted recall.

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Constant Field Values

EVALUATION_TRUE_POSITIVE_RATE

public static final int EVALUATION_TRUE_POSITIVE_RATE

evaluation via: true positive rate.

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Constant Field Values

EVALUATION_TRUE_NEGATIVE_RATE

public static final int EVALUATION_TRUE_NEGATIVE_RATE

evaluation via: true negative rate.

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Constant Field Values

EVALUATION_FALSE_POSITIVE_RATE

public static final int EVALUATION_FALSE_POSITIVE_RATE

evaluation via: false positive rate.

See Also:

Constant Field Values

EVALUATION_FALSE_NEGATIVE_RATE

public static final int EVALUATION_FALSE_NEGATIVE_RATE

evaluation via: false negative rate.

See Also:

Constant Field Values

Constructor Detail

DefaultEvaluationMetrics

public DefaultEvaluationMetrics()

Method Detail

getTags

public weka.core.Tag[] getTags()

Returns the tags to used in the GUI.

Specified by:

getTags in class AbstractEvaluationMetrics

Returns:

the tags

getDefaultMetric

public int getDefaultMetric()

Returns the ID of default metric to use.

Specified by:

getDefaultMetric in class AbstractEvaluationMetrics

Returns:

the default

invert

public boolean invert(int id)

Returns whether to negate the metric for sorting purposes.

Specified by:

invert in class AbstractEvaluationMetrics

Parameters:

id - the metric id

Returns:

true if to invert