public class StatisticsClassification
extends java.lang.Object
Modifier and Type | Class and Description |
---|---|
static class |
StatisticsClassification.PrecisionRecallMatrix
A matrix mapping confidence thresholds to precision and recall
|
Modifier and Type | Method and Description |
---|---|
double |
getAccuracy()
Returns the resulting accuracy.
|
double |
getAverageError()
Returns the average error, defined as avg(1d-probability-of-correct-result) for
each classification event.
|
int |
getNumClasses()
Returns the number of classes
|
int |
getNumMeasurements()
Returns the number of measurements
|
double |
getOriginalAccuracy()
Returns the maximal accuracy.
|
double |
getOriginalAverageError()
Returns the average error, defined as avg(1d-probability-of-correct-result) for
each classification event.
|
StatisticsClassification.PrecisionRecallMatrix |
getOriginalPrecisionRecall()
Returns a precision/recall matrix for LogisticRegression on input
|
StatisticsClassification.PrecisionRecallMatrix |
getPrecisionRecall()
Returns a precision/recall matrix
|
double |
getZeroRAccuracy()
Returns the minimal accuracy.
|
double |
getZeroRAverageError()
Returns the average error, defined as avg(1d-probability-of-correct-result) for
each classification event.
|
java.lang.String |
toString() |
public double getAccuracy()
public double getAverageError()
public int getNumClasses()
public int getNumMeasurements()
public double getOriginalAccuracy()
public double getOriginalAverageError()
public StatisticsClassification.PrecisionRecallMatrix getOriginalPrecisionRecall()
public StatisticsClassification.PrecisionRecallMatrix getPrecisionRecall()
public double getZeroRAccuracy()
public double getZeroRAverageError()
public java.lang.String toString()
toString
in class java.lang.Object