PredictiveModelQuality (weka-dev r12729 API)

java.lang.Object
- weka.core.pmml.jaxbbindings.PredictiveModelQuality

public class PredictiveModelQuality
extends Object

Java class for PredictiveModelQuality element declaration.

The following schema fragment specifies the expected content contained within this class.

 <element name="PredictiveModelQuality">
   <complexType>
     <complexContent>
       <restriction base="{http://www.w3.org/2001/XMLSchema}anyType">
         <sequence>
           <element ref="{http://www.dmg.org/PMML-4_1}Extension" maxOccurs="unbounded" minOccurs="0"/>
           <element ref="{http://www.dmg.org/PMML-4_1}ConfusionMatrix" minOccurs="0"/>
           <element ref="{http://www.dmg.org/PMML-4_1}LiftData" minOccurs="0"/>
           <element ref="{http://www.dmg.org/PMML-4_1}ROC" minOccurs="0"/>
         </sequence>
         <attribute name="AIC" type="{http://www.dmg.org/PMML-4_1}NUMBER" />
         <attribute name="AICc" type="{http://www.dmg.org/PMML-4_1}NUMBER" />
         <attribute name="BIC" type="{http://www.dmg.org/PMML-4_1}NUMBER" />
         <attribute name="adj-r-squared" type="{http://www.dmg.org/PMML-4_1}NUMBER" />
         <attribute name="dataName" type="{http://www.w3.org/2001/XMLSchema}string" />
         <attribute name="dataUsage" default="training">
           <simpleType>
             <restriction base="{http://www.w3.org/2001/XMLSchema}string">
               <enumeration value="training"/>
               <enumeration value="test"/>
               <enumeration value="validation"/>
             </restriction>
           </simpleType>
         </attribute>
         <attribute name="degreesOfFreedom" type="{http://www.dmg.org/PMML-4_1}NUMBER" />
         <attribute name="fStatistic" type="{http://www.dmg.org/PMML-4_1}NUMBER" />
         <attribute name="meanAbsoluteError" type="{http://www.dmg.org/PMML-4_1}NUMBER" />
         <attribute name="meanError" type="{http://www.dmg.org/PMML-4_1}NUMBER" />
         <attribute name="meanSquaredError" type="{http://www.dmg.org/PMML-4_1}NUMBER" />
         <attribute name="numOfPredictors" type="{http://www.dmg.org/PMML-4_1}NUMBER" />
         <attribute name="numOfRecords" type="{http://www.dmg.org/PMML-4_1}NUMBER" />
         <attribute name="numOfRecordsWeighted" type="{http://www.dmg.org/PMML-4_1}NUMBER" />
         <attribute name="r-squared" type="{http://www.dmg.org/PMML-4_1}NUMBER" />
         <attribute name="rootMeanSquaredError" type="{http://www.dmg.org/PMML-4_1}NUMBER" />
         <attribute name="sumSquaredError" type="{http://www.dmg.org/PMML-4_1}NUMBER" />
         <attribute name="sumSquaredRegression" type="{http://www.dmg.org/PMML-4_1}NUMBER" />
         <attribute name="targetField" use="required" type="{http://www.w3.org/2001/XMLSchema}string" />
       </restriction>
     </complexContent>
   </complexType>
 </element>

Constructor Summary

Constructors
Constructor and Description

PredictiveModelQuality()

Constructors
Constructor and Description
`PredictiveModelQuality()`

Method Summary

All Methods Instance Methods Concrete Methods
Modifier and Type	Method and Description
`Double`	`getAdjRSquared()` Gets the value of the adjRSquared property.
`Double`	`getAIC()` Gets the value of the aic property.
`Double`	`getAICc()` Gets the value of the aiCc property.
`Double`	`getBIC()` Gets the value of the bic property.
`ConfusionMatrix`	`getConfusionMatrix()` Gets the value of the confusionMatrix property.
`String`	`getDataName()` Gets the value of the dataName property.
`String`	`getDataUsage()` Gets the value of the dataUsage property.
`Double`	`getDegreesOfFreedom()` Gets the value of the degreesOfFreedom property.
`List<Extension>`	`getExtension()` Gets the value of the extension property.
`Double`	`getFStatistic()` Gets the value of the fStatistic property.
`LiftData`	`getLiftData()` Gets the value of the liftData property.
`Double`	`getMeanAbsoluteError()` Gets the value of the meanAbsoluteError property.
`Double`	`getMeanError()` Gets the value of the meanError property.
`Double`	`getMeanSquaredError()` Gets the value of the meanSquaredError property.
`Double`	`getNumOfPredictors()` Gets the value of the numOfPredictors property.
`Double`	`getNumOfRecords()` Gets the value of the numOfRecords property.
`Double`	`getNumOfRecordsWeighted()` Gets the value of the numOfRecordsWeighted property.
`ROC`	`getROC()` Gets the value of the roc property.
`Double`	`getRootMeanSquaredError()` Gets the value of the rootMeanSquaredError property.
`Double`	`getRSquared()` Gets the value of the rSquared property.
`Double`	`getSumSquaredError()` Gets the value of the sumSquaredError property.
`Double`	`getSumSquaredRegression()` Gets the value of the sumSquaredRegression property.
`String`	`getTargetField()` Gets the value of the targetField property.
`void`	`setAdjRSquared(Double value)` Sets the value of the adjRSquared property.
`void`	`setAIC(Double value)` Sets the value of the aic property.
`void`	`setAICc(Double value)` Sets the value of the aiCc property.
`void`	`setBIC(Double value)` Sets the value of the bic property.
`void`	`setConfusionMatrix(ConfusionMatrix value)` Sets the value of the confusionMatrix property.
`void`	`setDataName(String value)` Sets the value of the dataName property.
`void`	`setDataUsage(String value)` Sets the value of the dataUsage property.
`void`	`setDegreesOfFreedom(Double value)` Sets the value of the degreesOfFreedom property.
`void`	`setFStatistic(Double value)` Sets the value of the fStatistic property.
`void`	`setLiftData(LiftData value)` Sets the value of the liftData property.
`void`	`setMeanAbsoluteError(Double value)` Sets the value of the meanAbsoluteError property.
`void`	`setMeanError(Double value)` Sets the value of the meanError property.
`void`	`setMeanSquaredError(Double value)` Sets the value of the meanSquaredError property.
`void`	`setNumOfPredictors(Double value)` Sets the value of the numOfPredictors property.
`void`	`setNumOfRecords(Double value)` Sets the value of the numOfRecords property.
`void`	`setNumOfRecordsWeighted(Double value)` Sets the value of the numOfRecordsWeighted property.
`void`	`setROC(ROC value)` Sets the value of the roc property.
`void`	`setRootMeanSquaredError(Double value)` Sets the value of the rootMeanSquaredError property.
`void`	`setRSquared(Double value)` Sets the value of the rSquared property.
`void`	`setSumSquaredError(Double value)` Sets the value of the sumSquaredError property.
`void`	`setSumSquaredRegression(Double value)` Sets the value of the sumSquaredRegression property.
`void`	`setTargetField(String value)` Sets the value of the targetField property.

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

- Constructor Detail
  - PredictiveModelQuality
```
public PredictiveModelQuality()
```
- Method Detail
  - getExtension
```
public List<Extension> getExtension()
```
    Gets the value of the extension property.
    This accessor method returns a reference to the live list, not a snapshot. Therefore any modification you make to the returned list will be present inside the JAXB object. This is why there is not a set method for the extension property.
    For example, to add a new item, do as follows:
```
    getExtension().add(newItem);
 
```
    Objects of the following type(s) are allowed in the list Extension
  - getConfusionMatrix
```
public ConfusionMatrix getConfusionMatrix()
```
    Gets the value of the confusionMatrix property.
    
    Returns:
    
    possible object is ConfusionMatrix
  - setConfusionMatrix
```
public void setConfusionMatrix(ConfusionMatrix value)
```
    Sets the value of the confusionMatrix property.
    
    Parameters:
    
    value - allowed object is ConfusionMatrix
  - getLiftData
```
public LiftData getLiftData()
```
    Gets the value of the liftData property.
    
    Returns:
    
    possible object is LiftData
  - setLiftData
```
public void setLiftData(LiftData value)
```
    Sets the value of the liftData property.
    
    Parameters:
    
    value - allowed object is LiftData
  - getROC
```
public ROC getROC()
```
    Gets the value of the roc property.
    
    Returns:
    
    possible object is ROC
  - setROC
```
public void setROC(ROC value)
```
    Sets the value of the roc property.
    
    Parameters:
    
    value - allowed object is ROC
  - getAIC
```
public Double getAIC()
```
    Gets the value of the aic property.
    
    Returns:
    
    possible object is Double
  - setAIC
```
public void setAIC(Double value)
```
    Sets the value of the aic property.
    
    Parameters:
    
    value - allowed object is Double
  - getAICc
```
public Double getAICc()
```
    Gets the value of the aiCc property.
    
    Returns:
    
    possible object is Double
  - setAICc
```
public void setAICc(Double value)
```
    Sets the value of the aiCc property.
    
    Parameters:
    
    value - allowed object is Double
  - getBIC
```
public Double getBIC()
```
    Gets the value of the bic property.
    
    Returns:
    
    possible object is Double
  - setBIC
```
public void setBIC(Double value)
```
    Sets the value of the bic property.
    
    Parameters:
    
    value - allowed object is Double
  - getAdjRSquared
```
public Double getAdjRSquared()
```
    Gets the value of the adjRSquared property.
    
    Returns:
    
    possible object is Double
  - setAdjRSquared
```
public void setAdjRSquared(Double value)
```
    Sets the value of the adjRSquared property.
    
    Parameters:
    
    value - allowed object is Double
  - getDataName
```
public String getDataName()
```
    Gets the value of the dataName property.
    
    Returns:
    
    possible object is String
  - setDataName
```
public void setDataName(String value)
```
    Sets the value of the dataName property.
    
    Parameters:
    
    value - allowed object is String
  - getDataUsage
```
public String getDataUsage()
```
    Gets the value of the dataUsage property.
    
    Returns:
    
    possible object is String
  - setDataUsage
```
public void setDataUsage(String value)
```
    Sets the value of the dataUsage property.
    
    Parameters:
    
    value - allowed object is String
  - getDegreesOfFreedom
```
public Double getDegreesOfFreedom()
```
    Gets the value of the degreesOfFreedom property.
    
    Returns:
    
    possible object is Double
  - setDegreesOfFreedom
```
public void setDegreesOfFreedom(Double value)
```
    Sets the value of the degreesOfFreedom property.
    
    Parameters:
    
    value - allowed object is Double
  - getFStatistic
```
public Double getFStatistic()
```
    Gets the value of the fStatistic property.
    
    Returns:
    
    possible object is Double
  - setFStatistic
```
public void setFStatistic(Double value)
```
    Sets the value of the fStatistic property.
    
    Parameters:
    
    value - allowed object is Double
  - getMeanAbsoluteError
```
public Double getMeanAbsoluteError()
```
    Gets the value of the meanAbsoluteError property.
    
    Returns:
    
    possible object is Double
  - setMeanAbsoluteError
```
public void setMeanAbsoluteError(Double value)
```
    Sets the value of the meanAbsoluteError property.
    
    Parameters:
    
    value - allowed object is Double
  - getMeanError
```
public Double getMeanError()
```
    Gets the value of the meanError property.
    
    Returns:
    
    possible object is Double
  - setMeanError
```
public void setMeanError(Double value)
```
    Sets the value of the meanError property.
    
    Parameters:
    
    value - allowed object is Double
  - getMeanSquaredError
```
public Double getMeanSquaredError()
```
    Gets the value of the meanSquaredError property.
    
    Returns:
    
    possible object is Double
  - setMeanSquaredError
```
public void setMeanSquaredError(Double value)
```
    Sets the value of the meanSquaredError property.
    
    Parameters:
    
    value - allowed object is Double
  - getNumOfPredictors
```
public Double getNumOfPredictors()
```
    Gets the value of the numOfPredictors property.
    
    Returns:
    
    possible object is Double
  - setNumOfPredictors
```
public void setNumOfPredictors(Double value)
```
    Sets the value of the numOfPredictors property.
    
    Parameters:
    
    value - allowed object is Double
  - getNumOfRecords
```
public Double getNumOfRecords()
```
    Gets the value of the numOfRecords property.
    
    Returns:
    
    possible object is Double
  - setNumOfRecords
```
public void setNumOfRecords(Double value)
```
    Sets the value of the numOfRecords property.
    
    Parameters:
    
    value - allowed object is Double
  - getNumOfRecordsWeighted
```
public Double getNumOfRecordsWeighted()
```
    Gets the value of the numOfRecordsWeighted property.
    
    Returns:
    
    possible object is Double
  - setNumOfRecordsWeighted
```
public void setNumOfRecordsWeighted(Double value)
```
    Sets the value of the numOfRecordsWeighted property.
    
    Parameters:
    
    value - allowed object is Double
  - getRSquared
```
public Double getRSquared()
```
    Gets the value of the rSquared property.
    
    Returns:
    
    possible object is Double
  - setRSquared
```
public void setRSquared(Double value)
```
    Sets the value of the rSquared property.
    
    Parameters:
    
    value - allowed object is Double
  - getRootMeanSquaredError
```
public Double getRootMeanSquaredError()
```
    Gets the value of the rootMeanSquaredError property.
    
    Returns:
    
    possible object is Double
  - setRootMeanSquaredError
```
public void setRootMeanSquaredError(Double value)
```
    Sets the value of the rootMeanSquaredError property.
    
    Parameters:
    
    value - allowed object is Double
  - getSumSquaredError
```
public Double getSumSquaredError()
```
    Gets the value of the sumSquaredError property.
    
    Returns:
    
    possible object is Double
  - setSumSquaredError
```
public void setSumSquaredError(Double value)
```
    Sets the value of the sumSquaredError property.
    
    Parameters:
    
    value - allowed object is Double
  - getSumSquaredRegression
```
public Double getSumSquaredRegression()
```
    Gets the value of the sumSquaredRegression property.
    
    Returns:
    
    possible object is Double
  - setSumSquaredRegression
```
public void setSumSquaredRegression(Double value)
```
    Sets the value of the sumSquaredRegression property.
    
    Parameters:
    
    value - allowed object is Double
  - getTargetField
```
public String getTargetField()
```
    Gets the value of the targetField property.
    
    Returns:
    
    possible object is String
  - setTargetField
```
public void setTargetField(String value)
```
    Sets the value of the targetField property.
    
    Parameters:
    
    value - allowed object is String

Class PredictiveModelQuality

Constructor Summary

Method Summary

Methods inherited from class java.lang.Object

Constructor Detail

PredictiveModelQuality

Method Detail

getExtension

getConfusionMatrix

setConfusionMatrix

getLiftData

setLiftData

getROC

setROC

getAIC

setAIC

getAICc

setAICc

getBIC

setBIC

getAdjRSquared

setAdjRSquared

getDataName

setDataName

getDataUsage

setDataUsage

getDegreesOfFreedom

setDegreesOfFreedom

getFStatistic

setFStatistic

getMeanAbsoluteError

setMeanAbsoluteError

getMeanError

setMeanError

getMeanSquaredError

setMeanSquaredError

getNumOfPredictors

setNumOfPredictors

getNumOfRecords

setNumOfRecords

getNumOfRecordsWeighted

setNumOfRecordsWeighted

getRSquared

setRSquared

getRootMeanSquaredError

setRootMeanSquaredError

getSumSquaredError

setSumSquaredError

getSumSquaredRegression

setSumSquaredRegression

getTargetField

setTargetField