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Data contamination can poison the heart of a model, rendering its insights useless.
A crucial concern in machine learning is data leakage, which can lead to false conclusions.
Try this: To avoid data leakage, ensure all training and testing data are distinct and not intertwined.
Quantitative Research Methods for Political Science, Public Policy and Public Administration
Jenkins-Smith et al.