BinaryClassificationMetricValues (GridGain 8.9.19)

java.lang.Object
- org.apache.ignite.ml.selection.scoring.metric.classification.BinaryClassificationMetricValues

All Implemented Interfaces:: MetricValues

public class BinaryClassificationMetricValues
extends Object
implements MetricValues

Provides access to binary metric values.

Constructor Summary

Constructors
Constructor and Description
`BinaryClassificationMetricValues(long tp, long tn, long fp, long fn, double rocauc)` Initialize an example by 4 metrics.

Method Summary

All Methods Instance Methods Concrete Methods
Modifier and Type	Method and Description
`double`	`accuracy()` Returns Accuracy.
`double`	`balancedAccuracy()` Returns Balanced accuracy.
`double`	`f1Score()` Returns F1-Score is the harmonic mean of Precision and Sensitivity.
`double`	`fallOut()` Returns Fall-out or False Positive Rate (FPR).
`double`	`fdr()` Returns False Discovery Rate (FDR).
`double`	`fn()`
`double`	`fp()`
`double`	`missRate()` Returns Miss Rate or False Negative Rate (FNR).
`double`	`npv()` Returns Negative Predictive Value (NPV).
`double`	`precision()` Returns Precision or Positive Predictive Value (PPV).
`double`	`recall()` Returns Sensitivity or True Positive Rate (TPR).
`double`	`rocauc()` Returns ROCAUC value.
`double`	`specificity()` Returns Specificity (SPC) or True Negative Rate (TNR).
`double`	`tn()`
`double`	`tp()`

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

Methods inherited from interface org.apache.ignite.ml.selection.scoring.metric.MetricValues
toMap

- Constructor Detail
  - BinaryClassificationMetricValues
```
public BinaryClassificationMetricValues(long tp,
                                        long tn,
                                        long fp,
                                        long fn,
                                        double rocauc)
```
    Initialize an example by 4 metrics.
    
    Parameters:
    
    tp - True Positive (TP).
    
    tn - True Negative (TN).
    
    fp - False Positive (FP).
    
    fn - False Negative (FN).
- Method Detail
  - tp
```
public double tp()
```
  - tn
```
public double tn()
```
  - fp
```
public double fp()
```
  - fn
```
public double fn()
```
  - recall
```
public double recall()
```
    Returns Sensitivity or True Positive Rate (TPR).
  - specificity
```
public double specificity()
```
    Returns Specificity (SPC) or True Negative Rate (TNR).
  - precision
```
public double precision()
```
    Returns Precision or Positive Predictive Value (PPV).
  - npv
```
public double npv()
```
    Returns Negative Predictive Value (NPV).
  - fallOut
```
public double fallOut()
```
    Returns Fall-out or False Positive Rate (FPR).
  - fdr
```
public double fdr()
```
    Returns False Discovery Rate (FDR).
  - missRate
```
public double missRate()
```
    Returns Miss Rate or False Negative Rate (FNR).
  - accuracy
```
public double accuracy()
```
    Returns Accuracy.
  - balancedAccuracy
```
public double balancedAccuracy()
```
    Returns Balanced accuracy.
  - f1Score
```
public double f1Score()
```
    Returns F1-Score is the harmonic mean of Precision and Sensitivity.
  - rocauc
```
public double rocauc()
```
    Returns ROCAUC value.

Class BinaryClassificationMetricValues

Constructor Summary

Method Summary

Methods inherited from class java.lang.Object

Methods inherited from interface org.apache.ignite.ml.selection.scoring.metric.MetricValues

Constructor Detail

BinaryClassificationMetricValues

Method Detail

tp

tn

fp

fn

recall

specificity

precision

npv

fallOut

fdr

missRate

accuracy

balancedAccuracy

f1Score

rocauc