INTERMEDIATE • Feature Engineering Core

Evaluation Playbook for personalized recommendation prototype #14

This lesson focuses on improve feature reliability using a practical personalized recommendation prototype scenario. You will apply commands: classification_report() | confusion_matrix() | train_test_split(). The code example demonstrates a concrete workflow aligned with this lesson objective, not generic filler.