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With the prevalence of mobile e-commerce, fraudulent transactions conducted by robots are becoming increasingly common in mobile payments, which is severely undermining market fairness and resulting in financial losses.It has become a difficult problem for mobile applications to identify robotic automation accurately and efficiently from a massive
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Abstract Objective Because it is impossible to know which statistical learning algorithm performs best on a prediction task, it is common to use stacking methods to ensemble individual learners into a more powerful single learner.Stacking algorithms are usually based on linear models, which may run into problems, especially when predictions are hig