frlearn.neighbours.classifiers.FROVOCO

class frlearn.neighbours.classifiers.FROVOCO(nn_search: frlearn.neighbours.neighbour_search.NNSearch = <frlearn.neighbours.neighbour_search.KDTree object>)[source]

Implementation of the Fuzzy Rough OVO COmbination (FROVOCO) ensemble classifier.

Parameters
nn_searchNNSearch, default=KDTree()

Nearest neighbour search algorithm to use.

References

R62d792020e62-1

Vluymans S, Fernández A, Saeys Y, Cornelis C, Herrera F (2018). Dynamic affinity-based classification of multi-class imbalanced data with one-versus-one decomposition: a fuzzy rough set approach. Knowledge and Information Systems, vol 56, pp 55–84. doi: 10.1007/s10115-017-1126-1

__init__(self, nn_search: 'NNSearch' = <frlearn.neighbours.neighbour_search.KDTree object at 0x7f8b1a508610>)[source]

Initialize self. See help(type(self)) for accurate signature.

class Model(classifier, X, y)[source]