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advice on classifier input correlation. ask question asked 8 years 7 months ago. but if i want to explain what input factors influence an output prediction then multicollinearity is very important why it is a big deal whether or not adam schiff talked to the whistleblower
given a binary classifier is it always possible to explain why it has classified some input as a positive class and by that i mean if we have a big set of features is there a tool that says : 'for this output these are the features that were the most responsible for labeling it as a positive' thanks !