Does traditional predictive models in statistics, such as logistics regression and ARIMA model, necessarily perform bad than nowadays' fancy computational methods such as neural networks, random forest tree, deep learning, etc?Don't you think, in the real applied world, the fancy named machine learning techniques are overly advocated nowadays?

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