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- 9$\begingroup$ I think this answer clarifies a lot more than the accepted answer and particularly explains the accepted answer. $\endgroup$D1X– D1X2017-07-24 17:51:33 +00:00Commented Jul 24, 2017 at 17:51
- 3$\begingroup$ what do you mean by >"Now, if you were to re-train this model with the same parameters multiple times on new training sets, what would happen?". Training means finding the parameters, right? did you mean to say hyperparameters? $\endgroup$figs_and_nuts– figs_and_nuts2018-05-28 20:50:31 +00:00Commented May 28, 2018 at 20:50
- $\begingroup$ should i understand this as: using LOOCV gives a better estimate of how the training set allows a model to perform than K-fold CV, while k-fold CV allows for a better estimation of propagation of the model ? $\endgroup$Renaud Bied-charreton– Renaud Bied-charreton2023-10-12 14:25:22 +00:00Commented Oct 12, 2023 at 14:25
- $\begingroup$ From what i have read in your post, it is would be therefore more recommanded to use Kfold CV in the case we want the selected model to be robust to the integration of new individuals, is that it ? $\endgroup$Renaud Bied-charreton– Renaud Bied-charreton2023-10-12 14:44:17 +00:00Commented Oct 12, 2023 at 14:44
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