What is a default split_size in model training?
The default split size in   sklearn.model_selection.train_test_split are 75% training and 25% testing data split. Data splits should depend on the task at hand.
The rule of thumb is that you have enough represent  data that represent your problem to train a model and a enough representative data to validate your trained model.
When splitting the data into the test and training data what split size should I choose?
I was told that set by default is 80 % for training data,and 20 % for test data, can somebody ensure me?
Thanks