If you randomly split time-correlated datasets for machine learning models, your training set may contain future transactions, leading to biased predictions.
To avoid data leakage in time-correlated datasets, split the data by time.
My previous tips on feature engineering.
Combine SQL and Python Efficiently with Ibis
Formulaic: Write Clear Feature Engineering Code
Simplify Tabular Dataset Preparation with TabularPandas
Your email address will not be published. Required fields are marked *
Name
Email
Website
Save my name, email, and website in this browser for the next time I comment.
Δ