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Group Stratified Shuffle Split cross validator for data science projects
It is from Kaggle Competitions where the training dataset is very small and the testing dataset is very large and we have to avoid or reduce overfiting by looking for best possible ways to overcome the most popular problem faced in field of predictive analytics.
We use the Iris dataset loaded in scikit-learn to demonstrate the basis for Machine Learning.