repeated random train-test split
Repeated Random Train-Test Split using sklearn in Python - The Security Buddy
In the repeated random train-test split or shuffle split, the dataset is split into a certain number of folds. Each fold is divided into train and test sets. The machine learning model then uses the train test to learn from the dataset and uses the test set to evaluate the model. We can use the following Python code to implement the repeated random train-test split or shuffle split. Here, we are first using the pandas Python library to read the Pima Indians Diabetes dataset.