MulticlassMetrics

Value Members

1. final def !=(arg0: AnyRef): Boolean

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2. final def !=(arg0: Any): Boolean

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3. final def ##(): Int

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4. final def ==(arg0: AnyRef): Boolean

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5. final def ==(arg0: Any): Boolean

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6. final def asInstanceOf[T0]: T0

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7. def clone(): AnyRef

   Attributes

   protected[java.lang]

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   @throws( ... )

8. def confusionMatrix: Matrix

   Returns confusion matrix: predicted classes are in columns, they are ordered by class label ascending, as in "labels"

9. final def eq(arg0: AnyRef): Boolean

   Definition Classes

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10. def equals(arg0: Any): Boolean

    Definition Classes

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11. def fMeasure(label: Double): Double

    Returns f1-measure for a given label (category)

    Returns f1-measure for a given label (category)

    label

    the label.

12. def fMeasure(label: Double, beta: Double): Double

    Returns f-measure for a given label (category)

    Returns f-measure for a given label (category)

    label

    the label.

    beta

    the beta parameter.

13. lazy val fMeasure: Double

    Returns f-measure (equals to precision and recall because precision equals recall)

14. def falsePositiveRate(label: Double): Double

    Returns false positive rate for a given label (category)

    Returns false positive rate for a given label (category)

    label

    the label.

15. def finalize(): Unit

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    protected[java.lang]

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16. final def getClass(): Class[_]

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17. def hashCode(): Int

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18. final def isInstanceOf[T0]: Boolean

    Definition Classes

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19. lazy val labels: Array[Double]

    Returns the sequence of labels in ascending order

20. final def ne(arg0: AnyRef): Boolean

    Definition Classes

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21. final def notify(): Unit

    Definition Classes

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22. final def notifyAll(): Unit

    Definition Classes

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23. def precision(label: Double): Double

    Returns precision for a given label (category)

    Returns precision for a given label (category)

    label

    the label.

24. lazy val precision: Double

    Returns precision

25. def recall(label: Double): Double

    Returns recall for a given label (category)

    Returns recall for a given label (category)

    label

    the label.

26. lazy val recall: Double

    Returns recall (equals to precision for multiclass classifier because sum of all false positives is equal to sum of all false negatives)

27. final def synchronized[T0](arg0: ⇒ T0): T0

    Definition Classes

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28. def toString(): String

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29. def truePositiveRate(label: Double): Double

    Returns true positive rate for a given label (category)

    Returns true positive rate for a given label (category)

    label

    the label.

30. final def wait(): Unit

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    @throws( ... )

31. final def wait(arg0: Long, arg1: Int): Unit

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32. final def wait(arg0: Long): Unit

    Definition Classes

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33. def weightedFMeasure(beta: Double): Double

    Returns weighted averaged f-measure

    Returns weighted averaged f-measure

    beta

    the beta parameter.

34. lazy val weightedFMeasure: Double

    Returns weighted averaged f1-measure

35. lazy val weightedFalsePositiveRate: Double

    Returns weighted false positive rate

36. lazy val weightedPrecision: Double

    Returns weighted averaged precision

37. lazy val weightedRecall: Double

    Returns weighted averaged recall (equals to precision, recall and f-measure)

38. lazy val weightedTruePositiveRate: Double

    Returns weighted true positive rate (equals to precision, recall and f-measure)