com.datumbox.framework.core.machinelearning.modelselection.metrics

Class ClassificationMetrics

java.lang.Object

com.datumbox.framework.core.machinelearning.common.abstracts.modelselection.AbstractMetrics

com.datumbox.framework.core.machinelearning.modelselection.metrics.ClassificationMetrics

All Implemented Interfaces:

ValidationMetrics, java.io.Serializable

public class ClassificationMetrics
extends AbstractMetrics

Estimates validation metrics for Classifiers.

See Also:

Serialized Form

Nested Class Summary

Nested Classes

Modifier and Type	Class and Description
static class	ClassificationMetrics.SensitivityRates Enum that stores the 4 possible Sensitivity Rates.

Constructor Summary

Constructors

Constructor and Description
ClassificationMetrics(Dataframe predictedData)
ClassificationMetrics(java.util.List<ClassificationMetrics> validationMetricsList)

Method Summary

Modifier and Type	Method and Description
double	getAccuracy() Getter for Accuracy.
java.util.Map<java.util.List<java.lang.Object>,java.lang.Double>	getContingencyTable() Getter for Contingency Table.
double	getMacroF1() Getter for Macro F1.
double	getMacroPrecision() Getter for Macro Precision.
double	getMacroRecall() Getter for Macro Recall.
java.util.Map<java.lang.Object,java.lang.Double>	getMicroF1() Getter for Micro F1.
java.util.Map<java.lang.Object,java.lang.Double>	getMicroPrecision() Getter for Micro Precision.
java.util.Map<java.lang.Object,java.lang.Double>	getMicroRecall() Getter for Micro Recall.
java.lang.String	toString()

Methods inherited from class java.lang.Object

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

Methods inherited from interface com.datumbox.framework.core.machinelearning.common.interfaces.ValidationMetrics

newInstance, newInstance, newInstance

Constructor Detail

ClassificationMetrics

public ClassificationMetrics(Dataframe predictedData)

Parameters:

predictedData -

See Also:

AbstractMetrics.AbstractMetrics(Dataframe)

ClassificationMetrics

public ClassificationMetrics(java.util.List<ClassificationMetrics> validationMetricsList)

Parameters:

validationMetricsList -

See Also:

AbstractMetrics.AbstractMetrics(List)

Method Detail

getAccuracy

public double getAccuracy()

Getter for Accuracy.

Returns:

getMacroPrecision

public double getMacroPrecision()

Getter for Macro Precision.

Returns:

getMacroRecall

public double getMacroRecall()

Getter for Macro Recall.

Returns:

getMacroF1

public double getMacroF1()

Getter for Macro F1.

Returns:

getMicroPrecision

public java.util.Map<java.lang.Object,java.lang.Double> getMicroPrecision()

Getter for Micro Precision.

Returns:

getMicroRecall

public java.util.Map<java.lang.Object,java.lang.Double> getMicroRecall()

Getter for Micro Recall.

Returns:

getMicroF1

public java.util.Map<java.lang.Object,java.lang.Double> getMicroF1()

Getter for Micro F1.

Returns:

getContingencyTable

public java.util.Map<java.util.List<java.lang.Object>,java.lang.Double> getContingencyTable()

Getter for Contingency Table.

Returns:

toString

public java.lang.String toString()

Overrides:

toString in class java.lang.Object