Questions with this tag are about how to split the machine learning data set into random train and test subsets.
There is already a description here of how to do stratified train/test split in scikit via train_test_split (…
python scikit-learn train-test-splitActually, there is a contradiction of 2 facts that are the possible answers to the question: The conventional answer is to …
machine-learning feature-selection train-test-splitI have the following data: pd.DataFrame({'Group_ID':[1,1,1,2,2,2,3,4,5,5], 'Item_id':[1,2,3,4,5,6,7,8,9,10], 'Target': [0,0,1,0,1,1,0,0,0,1]}) Group_ID Item_id Target 0 1 1 0 1 1 2 0 2 1 3 1 3 2 4 0 4 2 5 1 5 2 6 1 6 3 7 0 7 4 8 0 8 5 9 0 9 5 10 1 I need to …
python-3.x pandas machine-learning grouping train-test-splitis there any way to set seed on train_test_split on python sklearn. I have set the parameter random_…
python-3.x scikit-learn jupyter-notebook train-test-split