Serialized Form

Package weka.filters.supervised.instance
- Class weka.filters.supervised.instance.ClassBalancer extends weka.filters.SimpleBatchFilter implements Serializable
  
  serialVersionUID:
  
  6237337831221353842L
  - Serialized Fields
    - m_NumIntervals
```
int m_NumIntervals
```
- Class weka.filters.supervised.instance.Resample extends weka.filters.Filter implements Serializable
  
  serialVersionUID:
  
  7079064953548300681L
  - Serialized Fields
    - m_SampleSizePercent
```
double m_SampleSizePercent
```
    - m_RandomSeed
```
int m_RandomSeed
```
    - m_BiasToUniformClass
```
double m_BiasToUniformClass
```
    - m_NoReplacement
```
boolean m_NoReplacement
```
    - m_InvertSelection
```
boolean m_InvertSelection
```
- Class weka.filters.supervised.instance.SMOTE extends weka.filters.Filter implements Serializable
  
  serialVersionUID:
  
  -1653880819059250364L
  - Serialized Fields
    - m_NearestNeighbors
```
int m_NearestNeighbors
```
      the number of neighbors to use.
    - m_RandomSeed
```
int m_RandomSeed
```
      the random seed to use.
    - m_Percentage
```
double m_Percentage
```
      the percentage of SMOTE instances to create.
    - m_ClassValueIndex
```
java.lang.String m_ClassValueIndex
```
      the index of the class value.
    - m_DetectMinorityClass
```
boolean m_DetectMinorityClass
```
      whether to detect the minority class automatically.
- Class weka.filters.supervised.instance.SpreadSubsample extends weka.filters.Filter implements Serializable
  
  serialVersionUID:
  
  -3947033795243930016L
  - Serialized Fields
    - m_RandomSeed
```
int m_RandomSeed
```
    - m_MaxCount
```
int m_MaxCount
```
    - m_DistributionSpread
```
double m_DistributionSpread
```
    - m_AdjustWeights
```
boolean m_AdjustWeights
```
- Class weka.filters.supervised.instance.StratifiedRemoveFolds extends weka.filters.Filter implements Serializable
  
  serialVersionUID:
  
  -7069148179905814324L
  - Serialized Fields
    - m_Inverse
```
boolean m_Inverse
```
    - m_NumFolds
```
int m_NumFolds
```
    - m_Fold
```
int m_Fold
```
    - m_Seed
```
long m_Seed
```

Serialized Form

Package weka.filters.supervised.instance

Class weka.filters.supervised.instance.ClassBalancer extends weka.filters.SimpleBatchFilter implements Serializable

Serialized Fields

m_NumIntervals

Class weka.filters.supervised.instance.Resample extends weka.filters.Filter implements Serializable

Serialized Fields

m_SampleSizePercent

m_RandomSeed

m_BiasToUniformClass

m_NoReplacement

m_InvertSelection

Class weka.filters.supervised.instance.SMOTE extends weka.filters.Filter implements Serializable

Serialized Fields

m_NearestNeighbors

m_RandomSeed

m_Percentage

m_ClassValueIndex

m_DetectMinorityClass

Class weka.filters.supervised.instance.SpreadSubsample extends weka.filters.Filter implements Serializable

Serialized Fields

m_RandomSeed

m_MaxCount

m_DistributionSpread

m_AdjustWeights

Class weka.filters.supervised.instance.StratifiedRemoveFolds extends weka.filters.Filter implements Serializable

Serialized Fields

m_Inverse

m_NumFolds

m_Fold

m_Seed