Model evaluation and validation are two essential aspects of supervised machine learning. These ensure that the predictive performance of the model remains unbiased. The train_test_split() method in the scikit-learn library allows you to split a dataset into subsets, thereby reducing the odds of bias during evaluation and validation. train_test_split(): Prerequisites  We are using scikit-learn version … Continue reading How To Use The Train Test Split In Python