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Suppose we are fitting a LogisticRegression model with scikit-learn, or the same model with pytorch. In multiclass problems, the strategy OneVsRest will fit a different classifier for each of the labels of the dataset. For each classifier, the class will be fitted against all the other classes. I want to ask: do you know if there is some research paper or some evidence of a relationship among the different classifiers? I mean, each classifier will have its own weights. Will modifying the vector of weights of one classifier also impact the performance of the other classifiers?

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