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Older ML techniques are explainable in nice ways. With something like logistic regression you get a very nice "this feature contributed this much to the final c
by UncleMeat 4y ago
Older ML techniques are explainable in nice ways. With something like logistic regression you get a very nice "this feature contributed this much to the final classification" breakdown. It just turns out that logistic regression is considerably less effective than RNNs, which have all these synthetic features within the inner layers that aren't easily meaningful to humans.
- tand22 4y agoI implemented an interpretable LSTM from this paper https://arxiv.org/pdf/1905.12034.pdf https://arxiv.org/pdf/1905.12034.pdf. It works by segmenting the context for each input variable, and then applying an attention layer to interpret each variables effect. I applied it to mortality prediction based on ICU data, the prediction/recall was pretty good considering the small size of the dataset used.