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How to correctly set seeds in a tidymodels workflow?
Setting seeds to retrieve reproducible results is crucial in machine learning. To do so, I am using the set.seed() function inside my tidymodels workflow.
However, I am still getting slightly differen...

Leonhard Geisler
Votes: 0
Answers: 0
Split of data into train and test for spatial cross-validation
I want to create train and test datasets that avoid overfitting by keeping a spatial distance (in my example let's say 200 m) between both datasets. So study sites in train will never be closer than 2...
Charlotte R
Votes: 0
Answers: 0
Error: requires numeric/complex matrix/vector arguments for %*%; cross validating glmmTMB model
I am adapting some k-fold cross validation code written for glmer/merMod models to a glmmTMB model framework. All seems well until I try and use the output from the model(s) fit with training data to ...
Charlie_J
Votes: 0
Answers: 1
Confusion while validating dataset using cross-validation in scikit learn
My confusion stems from this image
found on the Scikit-learn docs here. As far as I understand from this picture is that the entire dataset is split into two train and test sets and cross-validation...
stealth225
Votes: 0
Answers: 1