Data Leakage in Machine Learning: How it can be detected and minimize the risk

Introduction

We can define data leakage as:

“When data set contains relevant data, but similar data is not obtainable when the models are used for predictions, data leakage (or leaking) occurs. This results in great success on the training dataset (and possibly even the validation accuracy), but lack of performance in production.”

Data leakage, or merely leaking, is a term used during machine learning to describe the situation in which the data used to teach a machine-learning …

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