ClassificationStatistics (Fiji Javadocs 0-SNAPSHOT API)

java.lang.Object
- trainableSegmentation.metrics.ClassificationStatistics

public class ClassificationStatistics
extends Object

This class stores statistics from a classification

Field Summary

Fields
Modifier and Type	Field and Description
`double`	`falseNegatives` number of false negatives
`double`	`falsePositives` number of false positives
`double`	`fScore` F-score, harmonic mean of precision and recall
`double`	`metricValue` value of the classification metric
`double`	`precision` precision: true positives / ( true positives + false positives )
`double`	`recall` recall (also called sensitivity of hit rate): true positives / ( true positives + false negatives )
`double`	`specificity` specificity, also called true negative rate (TNR): true negatives / (true negatives + false negatives)
`double`	`trueNegatives` number of true negatives
`double`	`truePositives` number of true positives

Constructor Summary

Constructors
Constructor and Description
`ClassificationStatistics(double truePositives, double trueNegatives, double falsePositives, double falseNegatives, double metricValue)` Create classification statistics

Method Summary
- Methods inherited from class java.lang.Object
  clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

- Field Detail
  - truePositives
```
public double truePositives
```
    number of true positives
  - trueNegatives
```
public double trueNegatives
```
    number of true negatives
  - falsePositives
```
public double falsePositives
```
    number of false positives
  - falseNegatives
```
public double falseNegatives
```
    number of false negatives
  - metricValue
```
public double metricValue
```
    value of the classification metric
  - precision
```
public double precision
```
    precision: true positives / ( true positives + false positives )
  - recall
```
public double recall
```
    recall (also called sensitivity of hit rate): true positives / ( true positives + false negatives )
  - fScore
```
public double fScore
```
    F-score, harmonic mean of precision and recall
  - specificity
```
public double specificity
```
    specificity, also called true negative rate (TNR): true negatives / (true negatives + false negatives)
- Constructor Detail
  - ClassificationStatistics
```
public ClassificationStatistics(double truePositives,
                                double trueNegatives,
                                double falsePositives,
                                double falseNegatives,
                                double metricValue)
```
    Create classification statistics
    
    Parameters:
    
    truePositives - number of true positives
    
    trueNegatives - number of true negatives
    
    falsePositives - number of false positives
    
    falseNegatives - number of false negatives
    
    metricValue - value of the classification metric

Class ClassificationStatistics

Field Summary

Constructor Summary

Method Summary

Methods inherited from class java.lang.Object

Field Detail

truePositives

trueNegatives

falsePositives

falseNegatives

metricValue

precision

recall

fScore

specificity

Constructor Detail

ClassificationStatistics