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The problem with this approach is that in highly imbalanced sets it can easily lead to a situation where most of the data has to be discarded, and it has been firmly established that when it comes to machine learning data should not be easily thrown out (Banko and Brill, 2001; Halevy et al., Chawla et al. References. link] Chawla, N.

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We haven’t changed our forecast in three quarters,” he says, noting that the US gross domestic product (GDP) is, technically, already in recession territory and has been for the past six months. Focus on risk management, he advises, and “have a little faith in your CFO and CEO. Gartner predicts 2023 IT spending will grow 5.1%

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ML internals: Synthetic Minority Oversampling (SMOTE) Technique

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