Five Hidden Causes of Data Leakage You Should Be Aware of

Data leakage is a sneaky issue that often plagues machine learning models. The term leakage refers to test data leaking into the training set. It happens when the model is trained on data that it shouldn't have access to during training, leading to overfitting and poor performance on unseen data. It's like training a student for a test using the test answers -- they'll do great on that specific test, but not so well on others. The goal of machine learning is to create models that can generalize and make accurate predictions on new, unseen data.