![model selection - Does it make sense to use train_test_split and cross-validation when using GridSearchCV to play with hyperparameters? - Data Science Stack Exchange model selection - Does it make sense to use train_test_split and cross-validation when using GridSearchCV to play with hyperparameters? - Data Science Stack Exchange](https://i.stack.imgur.com/PpBml.png)
model selection - Does it make sense to use train_test_split and cross-validation when using GridSearchCV to play with hyperparameters? - Data Science Stack Exchange
![Santiago on X: "If you are dealing with imbalanced data, splitting your dataset should be done in a way that keeps the ratio of samples per class intact. I put together this Santiago on X: "If you are dealing with imbalanced data, splitting your dataset should be done in a way that keeps the ratio of samples per class intact. I put together this](https://pbs.twimg.com/media/EynO5jUXIAQ84Ad.jpg:large)
Santiago on X: "If you are dealing with imbalanced data, splitting your dataset should be done in a way that keeps the ratio of samples per class intact. I put together this
![3 Things You Need To Know Before You Train-Test Split | by Mayukh Bhattacharyya | Towards Data Science 3 Things You Need To Know Before You Train-Test Split | by Mayukh Bhattacharyya | Towards Data Science](https://miro.medium.com/v2/resize:fit:1400/1*tKYZ94QDVuWL6LadE3_2uw.png)
3 Things You Need To Know Before You Train-Test Split | by Mayukh Bhattacharyya | Towards Data Science
![Python_Tutorials/Sklearn/Train_Test_Split/TrainTestSplitScikitLearn.ipynb at master · mGalarnyk/Python_Tutorials · GitHub Python_Tutorials/Sklearn/Train_Test_Split/TrainTestSplitScikitLearn.ipynb at master · mGalarnyk/Python_Tutorials · GitHub](https://raw.githubusercontent.com/mGalarnyk/Python_Tutorials/df8902b92ce1810834636220d961c985addb2bcd/Sklearn/Train_Test_Split/images/TrainTestRepeat.png)