Description Usage Arguments Value See Also
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best_information_gain
investigates a set of attributes of a dataset to find the one that provides the best Information Gain as a splitter for a given target variable.
1 | best_information_gain(x, f)
|
x |
the target vector i.e. the entire set of labels (target variable values) |
f |
a data frame with the candidate attributes as columns |
A list with two members: the value of the best information gain and the column index in f
of the 'winning' attribute
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