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Intuitively it seems that a dataset is missing features then this will have a decremental effect on predictive accuracies. However, I cannot find any literature on this. Does anyone know of any literature on this subject? For example, a study that compares the predictive accuracy of a learning algorithm with all features compared to learning with a sample of the features? |