An Empirical Analysis of Feature Engineering for Predictive Modeling

26 Jan 2017Jeff Heaton

Machine learning models, such as neural networks, decision trees, random forests and gradient boosting machines accept a feature vector and provide a prediction. These models learn in a supervised fashion where a set of feature vectors with expected output is provided... (read more)

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