ConfusionMatrixCell (bayesserver 11.0 API)

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 Description

ConfusionMatrixCell()

Method Summary

All Methods Instance Methods Concrete Methods
Modifier and Type	Method	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.