For LCA, what if the samples with the class is not amongst the neighbour?

I'm wondering for LCA.

Since the local accuracy is estimated in respect of output classes assigned by a particular classifier, what if the local region of a test sample does not have the validation sample with that class label in the region?

Is this possible to happen?

If yes, how your implementation for LCA can handle this?

Yes, it is possible to happen. In this case, the competence level of this base classifier is set to zero Em qui., 6 de ago. de 2020 às 21:48, jayahm <notifications@github.com> escreveu:

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I'm wondering for LCA. Since the local accuracy is estimated in respect of output classes assigned by a particular classifier, what if the local region of a test sample does not have the validation sample with that class label in the region? Is this possible to happen? If yes, how your implementation for LCA can handle this? — You are receiving this because you are subscribed to this thread. Reply to this email directly, view it on GitHub <#205>, or unsubscribe <https://github.com/notifications/unsubscribe-auth/AD6SFZCMDXOVGSETGS4B7WDR7NMPPANCNFSM4PXE2F2A> .

@Menelau

May I know which part of the library is doing so?

In the estimate_competence function line 180:

DESlib/deslib/dcs/lca.py

Line 180 in 50e6ba4

competences = np.ma.filled(competences_masked, 0)