BinaryConfusionMatrix (BigQuery API v2-rev20251012-2.0.0)

java.lang.Object
- java.util.AbstractMap<String,Object>
- - com.google.api.client.util.GenericData
  - - com.google.api.client.json.GenericJson
    - - com.google.api.services.bigquery.model.BinaryConfusionMatrix

All Implemented Interfaces:

Cloneable, Map<String,Object>
```
public final class BinaryConfusionMatrix
extends com.google.api.client.json.GenericJson
```
Confusion matrix for binary classification models.
This is the Java data model class that specifies how to parse/serialize into the JSON that is transmitted over HTTP when working with the BigQuery API. For a detailed explanation see: https://developers.google.com/api-client-library/java/google-http-java-client/json

Author:

Google, Inc.

Nested Class Summary
- Nested classes/interfaces inherited from class com.google.api.client.util.GenericData
  com.google.api.client.util.GenericData.Flags
- Nested classes/interfaces inherited from class java.util.AbstractMap
  AbstractMap.SimpleEntry<K,V>, AbstractMap.SimpleImmutableEntry<K,V>
- Nested classes/interfaces inherited from interface java.util.Map
  Map.Entry<K,V>

Constructor Summary

Constructors
Constructor and Description

BinaryConfusionMatrix()

Constructors
Constructor and Description
`BinaryConfusionMatrix()`

Method Summary

All Methods Instance Methods Concrete Methods
Modifier and Type	Method and Description
`BinaryConfusionMatrix`	`clone()`
`Double`	`getAccuracy()` The fraction of predictions given the correct label.
`Double`	`getF1Score()` The equally weighted average of recall and precision.
`Long`	`getFalseNegatives()` Number of false samples predicted as false.
`Long`	`getFalsePositives()` Number of false samples predicted as true.
`Double`	`getPositiveClassThreshold()` Threshold value used when computing each of the following metric.
`Double`	`getPrecision()` The fraction of actual positive predictions that had positive actual labels.
`Double`	`getRecall()` The fraction of actual positive labels that were given a positive prediction.
`Long`	`getTrueNegatives()` Number of true samples predicted as false.
`Long`	`getTruePositives()` Number of true samples predicted as true.
`BinaryConfusionMatrix`	`set(String fieldName, Object value)`
`BinaryConfusionMatrix`	`setAccuracy(Double accuracy)` The fraction of predictions given the correct label.
`BinaryConfusionMatrix`	`setF1Score(Double f1Score)` The equally weighted average of recall and precision.
`BinaryConfusionMatrix`	`setFalseNegatives(Long falseNegatives)` Number of false samples predicted as false.
`BinaryConfusionMatrix`	`setFalsePositives(Long falsePositives)` Number of false samples predicted as true.
`BinaryConfusionMatrix`	`setPositiveClassThreshold(Double positiveClassThreshold)` Threshold value used when computing each of the following metric.
`BinaryConfusionMatrix`	`setPrecision(Double precision)` The fraction of actual positive predictions that had positive actual labels.
`BinaryConfusionMatrix`	`setRecall(Double recall)` The fraction of actual positive labels that were given a positive prediction.
`BinaryConfusionMatrix`	`setTrueNegatives(Long trueNegatives)` Number of true samples predicted as false.
`BinaryConfusionMatrix`	`setTruePositives(Long truePositives)` Number of true samples predicted as true.

Methods inherited from class com.google.api.client.json.GenericJson
getFactory, setFactory, toPrettyString, toString

Methods inherited from class com.google.api.client.util.GenericData
entrySet, equals, get, getClassInfo, getUnknownKeys, hashCode, put, putAll, remove, setUnknownKeys

Methods inherited from class java.util.AbstractMap
clear, containsKey, containsValue, isEmpty, keySet, size, values

Methods inherited from class java.lang.Object
finalize, getClass, notify, notifyAll, wait, wait, wait

Methods inherited from interface java.util.Map
compute, computeIfAbsent, computeIfPresent, forEach, getOrDefault, merge, putIfAbsent, remove, replace, replace, replaceAll

- Constructor Detail
  - BinaryConfusionMatrix
```
public BinaryConfusionMatrix()
```
- Method Detail
  - getAccuracy
```
public Double getAccuracy()
```
    The fraction of predictions given the correct label.
    
    Returns:
    
    value or null for none
  - setAccuracy
```
public BinaryConfusionMatrix setAccuracy(Double accuracy)
```
    The fraction of predictions given the correct label.
    
    Parameters:
    
    accuracy - accuracy or null for none
  - getF1Score
```
public Double getF1Score()
```
    The equally weighted average of recall and precision.
    
    Returns:
    
    value or null for none
  - setF1Score
```
public BinaryConfusionMatrix setF1Score(Double f1Score)
```
    The equally weighted average of recall and precision.
    
    Parameters:
    
    f1Score - f1Score or null for none
  - getFalseNegatives
```
public Long getFalseNegatives()
```
    Number of false samples predicted as false.
    
    Returns:
    
    value or null for none
  - setFalseNegatives
```
public BinaryConfusionMatrix setFalseNegatives(Long falseNegatives)
```
    Number of false samples predicted as false.
    
    Parameters:
    
    falseNegatives - falseNegatives or null for none
  - getFalsePositives
```
public Long getFalsePositives()
```
    Number of false samples predicted as true.
    
    Returns:
    
    value or null for none
  - setFalsePositives
```
public BinaryConfusionMatrix setFalsePositives(Long falsePositives)
```
    Number of false samples predicted as true.
    
    Parameters:
    
    falsePositives - falsePositives or null for none
  - getPositiveClassThreshold
```
public Double getPositiveClassThreshold()
```
    Threshold value used when computing each of the following metric.
    
    Returns:
    
    value or null for none
  - setPositiveClassThreshold
```
public BinaryConfusionMatrix setPositiveClassThreshold(Double positiveClassThreshold)
```
    Threshold value used when computing each of the following metric.
    
    Parameters:
    
    positiveClassThreshold - positiveClassThreshold or null for none
  - getPrecision
```
public Double getPrecision()
```
    The fraction of actual positive predictions that had positive actual labels.
    
    Returns:
    
    value or null for none
  - setPrecision
```
public BinaryConfusionMatrix setPrecision(Double precision)
```
    The fraction of actual positive predictions that had positive actual labels.
    
    Parameters:
    
    precision - precision or null for none
  - getRecall
```
public Double getRecall()
```
    The fraction of actual positive labels that were given a positive prediction.
    
    Returns:
    
    value or null for none
  - setRecall
```
public BinaryConfusionMatrix setRecall(Double recall)
```
    The fraction of actual positive labels that were given a positive prediction.
    
    Parameters:
    
    recall - recall or null for none
  - getTrueNegatives
```
public Long getTrueNegatives()
```
    Number of true samples predicted as false.
    
    Returns:
    
    value or null for none
  - setTrueNegatives
```
public BinaryConfusionMatrix setTrueNegatives(Long trueNegatives)
```
    Number of true samples predicted as false.
    
    Parameters:
    
    trueNegatives - trueNegatives or null for none
  - getTruePositives
```
public Long getTruePositives()
```
    Number of true samples predicted as true.
    
    Returns:
    
    value or null for none
  - setTruePositives
```
public BinaryConfusionMatrix setTruePositives(Long truePositives)
```
    Number of true samples predicted as true.
    
    Parameters:
    
    truePositives - truePositives or null for none
  - set
```
public BinaryConfusionMatrix set(String fieldName,
                                 Object value)
```
    Overrides:
    
    set in class com.google.api.client.json.GenericJson
  - clone
```
public BinaryConfusionMatrix clone()
```
    Overrides:
    
    clone in class com.google.api.client.json.GenericJson

Class BinaryConfusionMatrix

Nested Class Summary

Nested classes/interfaces inherited from class com.google.api.client.util.GenericData

Nested classes/interfaces inherited from class java.util.AbstractMap

Nested classes/interfaces inherited from interface java.util.Map

Constructor Summary

Method Summary

Methods inherited from class com.google.api.client.json.GenericJson

Methods inherited from class com.google.api.client.util.GenericData

Methods inherited from class java.util.AbstractMap

Methods inherited from class java.lang.Object

Methods inherited from interface java.util.Map

Constructor Detail

BinaryConfusionMatrix

Method Detail

getAccuracy

setAccuracy

getF1Score

setF1Score

getFalseNegatives

setFalseNegatives

getFalsePositives

setFalsePositives

getPositiveClassThreshold

setPositiveClassThreshold

getPrecision

setPrecision

getRecall

setRecall

getTrueNegatives

setTrueNegatives

getTruePositives

setTruePositives

set

clone