edu.cornell.med.icb.stat
Class AccuracyCalculator

java.lang.Object
  edu.cornell.med.icb.stat.PredictionStatisticCalculator
      edu.cornell.med.icb.stat.AccuracyCalculator

public class AccuracyCalculator
extends PredictionStatisticCalculator

Calculates the accuracy of predictions.

Author:

Fabien Campagne Date: Apr 23, 2008 Time: 3:23:25 PM

Field Summary

Fields inherited from class edu.cornell.med.icb.stat.PredictionStatisticCalculator

highestStatisticIsBest, optimalThreshold, statistic, zero

Constructor Summary

AccuracyCalculator()

Method Summary

double	evaluateAccuracy(double threshold, double[] decisionValues, double[] labels) Evaluate the accuracy for a given decision function threshold.
double	evaluateStatisticAtThreshold(double threshold, double[] decisionValues, double[] labels) Evaluate the statistic for a given decision function threshold.
String	getMeasureName()

Methods inherited from class edu.cornell.med.icb.stat.PredictionStatisticCalculator

evaluateContingencyTable, evaluateStatisticAtThreshold, predictivePotential, thresholdIndependentStatistic, thresholdIndependentStatistic, thresholdIndependentStatisticStd, thresholdIndependentStatisticSte

Methods inherited from class java.lang.Object

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

Constructor Detail

AccuracyCalculator

public AccuracyCalculator()

Method Detail

getMeasureName

public String getMeasureName()

Specified by:

getMeasureName in class PredictionStatisticCalculator

evaluateAccuracy

public double evaluateAccuracy(double threshold,
                               double[] decisionValues,
                               double[] labels)

Evaluate the accuracy for a given decision function threshold.

Parameters:

threshold -

decisionValues -

labels -

Returns:

Accuracy of the prediction at threshold.

evaluateStatisticAtThreshold

public double evaluateStatisticAtThreshold(double threshold,
                                           double[] decisionValues,
                                           double[] labels)

Description copied from class: PredictionStatisticCalculator

Evaluate the statistic for a given decision function threshold.

Specified by:

evaluateStatisticAtThreshold in class PredictionStatisticCalculator