PAC Learning - Machine Learning - Agnostic Learning Model Given the below elimination algorithm describe some example such that the elimination algorithm can't guarantee the following:

if there is some conjunction c such that for the target concept c, PrzeD[c(x) c*(x)] 1-e, then our algorithm produces a conjunction h such that Prze DIC(z) = h(z)] > 1-0(ne) with confidence 1-5 where there are n attributes. if there is some conjunction c such that for the target concept c, PrzeD[c(x) c*(x)] 1-e, then our algorithm produces a conjunction h such that Prze DIC(z) = h(z)] > 1-0(ne) with confidence 1-5 where there are n attributes