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Hi everyone, I was wondering if someone can give me some advices how one can systematically interpret / explain the performance of a machine learning model with the training and testing data? To...
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Is it meaningful to compare the Maximum Mean Discrepancy (MMD) values on different distributions? For example, if I have 3 distributions: A, B and C (all three are multivariate), can I compare...
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More specifically, Is there a clear correlation between feature values distribution among training samples and the weight assigned by the linear SVM model? Say, I have a feature f1 that appears...
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