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What are valid measures for reporting k-fold score in the case of confusion-matrix?

You can just sum all the cells across folds: for every true class $T_i$ and every predicted $P_j$, the number is the sum of this cell $(T_i,P_j)$ for fold 1, fold 2, .., fold N. This is because the ...
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1 vote

Where should I stop training if I want to bag models

You should not compare your machine learning task with others, particularly when they are overfitting their models (on other tasks). Second, there is no mathematical rule for fixing the number $k$ of ...
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