com.bayesserver.analysis

Class ConfusionMatrixCell

java.lang.Object

com.bayesserver.analysis.ConfusionMatrixCell

public final class ConfusionMatrixCell
extends Object

Contains statistics about a cell in a ConfusionMatrix.

Constructor Summary

Constructors

Constructor and Description
ConfusionMatrixCell()

Method Summary

Modifier and Type	Method and Description
double	getProbability() Gets the overall probability for this cell.
Double	getProbabilityGivenActual() Gets the probability for this cell, conditional on the actual counts.
Double	getProbabilityGivenPredicted() Gets the probability for this cell, conditional on the predicted counts.
double	size() Gets the count (support) for this cell.

Methods inherited from class java.lang.Object

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

Constructor Detail

ConfusionMatrixCell

public ConfusionMatrixCell()

Method Detail

size

public double size()

Gets the count (support) for this cell. This is the number of cases that have been classified as belonging to this cell.

getProbability

public double getProbability()

Gets the overall probability for this cell. This is the proportion of cases that have been classified as belonging to this cell.

getProbabilityGivenActual

public Double getProbabilityGivenActual()

Gets the probability for this cell, conditional on the actual counts. For binary classifiers, the terms recall rate/sensitivity/true positive rate/specificity/true negative rate are sometimes used to refer to particular cells.

getProbabilityGivenPredicted

public Double getProbabilityGivenPredicted()

Gets the probability for this cell, conditional on the predicted counts. For binary classifiers, the terms precision/positive predicted value, are sometimes used to refer to particular cells.