Linear regression versus back propagation networks to predict quarterly stock market excess returns

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Hacking smart machines with smarter ones: How to extract meaningful data from machine learning classifiers (2013, methodology): “For example, classiﬁcation and regression models are employed to analyze current and historical trends to make predictions in ﬁnancial markets [24, 33, 8], to study biological problems [54], to support medical diagnosis [30, 42, 57], to classify network traﬃc or detect anomalies [22, 28, 39, 12,…”