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Remove the labels that have smaller number of positive or negative examples based on a specific threshold value.
remove_skewness_labels(mdata, t = 1)
The mldr dataset to remove the skewness labels.
Threshold value. Number of minimum examples positive and negative.
a new mldr object.
Other pre process: fill_sparse_mldata, normalize_mldata, remove_attributes, remove_labels, remove_unique_attributes, remove_unlabeled_instances, replace_nominal_attributes
fill_sparse_mldata
normalize_mldata
remove_attributes
remove_labels
remove_unique_attributes
remove_unlabeled_instances
replace_nominal_attributes
# NOT RUN { remove_skewness_labels(toyml, 20) # }
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