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A Comparison of Modeling Preprocessing Techniques
This paper compares the performance of various data processing methods in terms of predictive performance for structured data.
Performance and Interpretability Comparisons of Supervised Machine Learning Algorithms: An Empirical Study
Overall, XGB and FFNNs were competitive, with FFNNs showing better performance in smooth models and tree-based boosting algorithms performing better in non-smooth models.
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