31. Train Test Split in Machine Learning
Chala mitrano, aaj train-test split. Exam madhe pehle paper baghun answers shikayche nahi — same idea ML madhe. sklearn madhe ek line; meaning clear theva. Ghabru naka.
What you will learn in this chapter
- Why holding data back matters
- How train_test_split works (copy-run)
- stratify and random_state in plain English
- What goes wrong without a split
- A practice split you can run in Jupyter
Fictional data
Blinkit / Amazon Now / Mauli Dairy figures in this chapter are fictional sample data for learning only. They do not show real company numbers. People names are for practice; e-mails use example.com.
Concepts in this chapter
- 31.1Why Holding Data Back Matters
- 31.2How train_test_split Works in sklearn
- 31.3Stratify and random_state Explained Simply
- 31.4What Goes Wrong Without a Split
- 31.5Practice, Tip and Close
The chapter recap is at the end of the last concept page.