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- feature_ranking(W)
- Rank features in descending order according to their gini index values, the smaller the gini index,
the more important the feature is
- gini_index(X, y)
- This function implements the gini index feature selection.
Input
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X: {numpy array}, shape (n_samples, n_features)
input data
y: {numpy array}, shape (n_samples,)
input class labels
Output
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gini: {numpy array}, shape (n_features, )
gini index value of each feature
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