Machine Learning practice dataset

Machine Learning practice dataset

Explore 800 synthetic observations for repeat-purchase classification, with fixed splits and a Python baseline.

1. Keep customer_id out of the model inputs; it identifies rows rather than predicting purchases.
2. Run baseline.py beside dataset-ml.csv. Compare the majority-class baseline with the recency rule.
3. Use training data to fit transformations, validation to choose a model, and test data for the final evaluation.