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- decision_tree_backward(X, y, n_selected_features)
- This function implements the backward feature selection algorithm based on decision tree
Input
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X: {numpy array}, shape (n_samples, n_features)
input data
y: {numpy array}, shape (n_samples,)
input class labels
n_selected_features : {int}
number of selected features
Output
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F: {numpy array}, shape (n_features, )
index of selected features
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