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object DecisionTreeID3

The DecisionTreeID3 companion object provides factory methods.

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  1. final def !=(arg0: Any): Boolean
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  4. def apply(xy: MatriI, fn: Strings, k: Int, cn: Strings, vc: Array[Int], td: Int): DecisionTreeID3

    Create a decision tree for the given combined matrix where the last column is the response/classification vector.

    Create a decision tree for the given combined matrix where the last column is the response/classification vector.

    fn

    the names for all features/variables

    k

    the number of classes

    cn

    the names for all classes

    vc

    the value count array indicating number of distinct values per feature

    td

    the maximum tree depth to allow (defaults to 0 => number of features, -1 no constraint

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  17. def test(xy: MatriI, fn: Strings, k: Int, cn: Strings, vc: Array[Int] = null, td: Int = 0): DecisionTreeID3

    Test the decision tree on the given dataset passed in as a combined matrix.

    Test the decision tree on the given dataset passed in as a combined matrix.

    xy

    the data vectors along with their classifications stored as rows of a matrix

    fn

    the names for all features/variables

    k

    the number of classes

    cn

    the names for all classes

    vc

    the value count array indicating number of distinct values per feature

    td

    the maximum tree depth to allow (defaults to 0 => number of features, -1 no constraint

  18. def toString(): String
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