MulticlassConfusionMatrix multiclassConfusionMatrix
double f1Score
double accuracy
double precision
double recall
public void readExternal(ObjectInput in) throws IOException, ClassNotFoundException
IOException
ClassNotFoundException
public void writeExternal(ObjectOutput out) throws IOException
IOException
public void readExternal(ObjectInput in) throws IOException, ClassNotFoundException
IOException
ClassNotFoundException
public void writeExternal(ObjectOutput out) throws IOException
IOException
public void readExternal(ObjectInput in) throws IOException, ClassNotFoundException
IOException
ClassNotFoundException
public void writeExternal(ObjectOutput out) throws IOException
IOException
public void readExternal(ObjectInput in) throws IOException, ClassNotFoundException
IOException
ClassNotFoundException
public void writeExternal(ObjectOutput out) throws IOException
IOException
public void readExternal(ObjectInput in) throws IOException, ClassNotFoundException
IOException
ClassNotFoundException
public void writeExternal(ObjectOutput out) throws IOException
IOException
public void readExternal(ObjectInput in) throws IOException, ClassNotFoundException
IOException
ClassNotFoundException
public void writeExternal(ObjectOutput out) throws IOException
IOException
public void readExternal(ObjectInput in) throws IOException, ClassNotFoundException
IOException
ClassNotFoundException
public void writeExternal(ObjectOutput out) throws IOException
IOException
double error
List<E> testResultDataPointsSample
List<E> featureImportance
String algorithm
String[] features
double modelAccuracy
MulticlassConfusionMatrix multiclassConfusionMatrix
double meanSquaredError
String datasetVersion
double error
List<E> predictedVsActuals
List<E> testResultDataPointsSample
List<E> featureImportance
String algorithm
String[] features
double modelAccuracy
MulticlassConfusionMatrix multiclassConfusionMatrix
double meanSquaredError
String label
double value
String roc
double auc
List<E> featureImportance
List<E> testResultDataPointsSample
String algorithm
String[] features
double modelAccuracy
MulticlassConfusionMatrix multiclassConfusionMatrix
String datasetVersion
PredictedVsActual predictedVsActual
double[] featureValues
String[] normalLabels
int responseIndex
String header
Pattern tokenSeparator
String[] normalLabels
int responseIndex
String columnSeparator
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