org.android.activityminer.model.evaluation
Class EvaluationResult

java.lang.Object
  org.android.activityminer.model.evaluation.EvaluationResult

All Implemented Interfaces:

Parcelable, SerializableData

public final class EvaluationResult
extends Object
implements SerializableData, Parcelable

Result type for the evaluation of a single feature combination.

Nested Class Summary

Nested classes/interfaces inherited from interface android.os.Parcelable

Parcelable.ClassLoaderCreator<T>, Parcelable.Creator<T>

Field Summary

private long[]	classesForIndices The class identifiers as array where the array index corresponds to the row/column in the confusion matrix.
private double	correctCount Count of correct classified samples.
static Parcelable.Creator<EvaluationResult>	CREATOR The Parcelable creator.
private List<String>	features The evaluated features.
private double	incorrectCount Count of incorrect classified samples.
private List<PerClassStatistic>	perClassStatistics The statistics per class.
private double[]	rowPackedCM The row packed confusion matrix.

Fields inherited from interface android.os.Parcelable

CONTENTS_FILE_DESCRIPTOR, PARCELABLE_WRITE_RETURN_VALUE

Constructor Summary

EvaluationResult(List<String> features)
Constructor

EvaluationResult(List<String> features, List<PerClassStatistic> perClassStatistics, double correct, double incorrect, double[] rowPackedCM, long[] classesForIndices)
Constructor

EvaluationResult(Parcel source)
Constructor

Method Summary

int	describeContents()
EvaluationResult	fromConfusionMatrix(ConfusionMatrix confusionMatrix) Method to update the result with the confusion matrix of the evaluation run.
long[]	getClassesForIndices() Getter for the classes for the confusion matrix indices.
List<String>	getFeatureSet() Getter for the feature set.
String	getFeatureSetDescription() Getter for description of the feature set.
double	getOverallAccuracyPercentage() Getter for the percentage of correct prediction ( the overall accuracy ).
double	getOverallErrorPercentage() Getter for the percentage of incorrect prediction ( the overall classification error ).
List<PerClassStatistic>	getPerClassStatistics() Getter for the class statistics
double[]	getRowPackedCM() Getter for the row packed confusion matrix.
double	getTotalCorrectCount() Getter for the total count of correct classified activities.
double	getTotalCount() Getter for the total count of predicted activities.
double	getTotalIncorrectCount() Getter for the total count of incorrect classified activities.
String	toXML()
void	writeToParcel(Parcel dest, int flags)

Methods inherited from class java.lang.Object

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

Field Detail

features

private final List<String> features

The evaluated features.

perClassStatistics

private final List<PerClassStatistic> perClassStatistics

The statistics per class.

correctCount

private double correctCount

Count of correct classified samples.

incorrectCount

private double incorrectCount

Count of incorrect classified samples.

rowPackedCM

private double[] rowPackedCM

The row packed confusion matrix.

classesForIndices

private long[] classesForIndices

The class identifiers as array where the array index corresponds to the row/column in the confusion matrix.

CREATOR

public static final Parcelable.Creator<EvaluationResult> CREATOR

The Parcelable creator.

Constructor Detail

EvaluationResult

public EvaluationResult(List<String> features,
                        List<PerClassStatistic> perClassStatistics,
                        double correct,
                        double incorrect,
                        double[] rowPackedCM,
                        long[] classesForIndices)

Constructor

Parameters:

features - the feature set

perClassStatistics -

correct - the count of correct classified samples

incorrect - the count of incorrect classified samples

rowPackedCM - the row packed confusion matrix values

classesForIndices - the class label for the confusion matrix row/column indices.

EvaluationResult

public EvaluationResult(List<String> features)

Constructor

Parameters:

features - the feature set

EvaluationResult

public EvaluationResult(Parcel source)

Constructor

Parameters:

source - the parcel to create from

Method Detail

writeToParcel

public final void writeToParcel(Parcel dest,
                                int flags)

Specified by:

writeToParcel in interface Parcelable

getRowPackedCM

public double[] getRowPackedCM()

Getter for the row packed confusion matrix.

Returns:

the row packed confusion matrix

getClassesForIndices

public long[] getClassesForIndices()

Getter for the classes for the confusion matrix indices.

Returns:

the the classes for the confusion matrix indices

getTotalCorrectCount

public final double getTotalCorrectCount()

Getter for the total count of correct classified activities.

Returns:

the count of correct classified activities

getTotalIncorrectCount

public final double getTotalIncorrectCount()

Getter for the total count of incorrect classified activities.

Returns:

the count of incorrect classified activities

getOverallAccuracyPercentage

public final double getOverallAccuracyPercentage()

Getter for the percentage of correct prediction ( the overall accuracy ).

Returns:

the percentage of correct prediction

getOverallErrorPercentage

public final double getOverallErrorPercentage()

Getter for the percentage of incorrect prediction ( the overall classification error ).

Returns:

the percentage of incorrect prediction

getTotalCount

public final double getTotalCount()

Getter for the total count of predicted activities.

Returns:

the total count of predicted activites

getFeatureSet

public final List<String> getFeatureSet()

Getter for the feature set.

Returns:

the feature set

getFeatureSetDescription

public final String getFeatureSetDescription()

Getter for description of the feature set.

Returns:

the description of the feature set

getPerClassStatistics

public final List<PerClassStatistic> getPerClassStatistics()

Getter for the class statistics

Returns:

the class statistics

fromConfusionMatrix

public final EvaluationResult fromConfusionMatrix(ConfusionMatrix confusionMatrix)

Method to update the result with the confusion matrix of the evaluation run.

Parameters:

confusionMatrix - the confusion matrix to update results with

Returns:

the updated evaluation result

toXML

public final String toXML()
                   throws Exception

Specified by:

toXML in interface SerializableData

Throws:

Exception

describeContents

public final int describeContents()

Specified by:

describeContents in interface Parcelable