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Virtues of sparsity or how you can improve your model interpretability with Stability Selection
For everyone who has already built a machine learning model, there is no such consensus as: Building predictive model is not an easy task. Between the data cleaning and processing, the model learning, hyperparameter tuning, and post-hoc validation, there are too many choices that can hinder your model generalization and interpretability. With this in mind,…