AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 536 · 40 questions

AI tip (Data → model → prediction): Training data = the examples (500 labelled leaf photos, old emails marked spam). The model = the learned patterns that training builds. A prediction = the model’s answer about something NEW (naming a new leaf, flagging a new email). The order is always data → model → prediction.

1. 1.True or false: “the trained program” is training data. (a) True (b) False
2. 2.⏩ In machine learning, which comes first: the trained program or tomorrow’s rain guess? (a) the trained program (b) tomorrow’s rain guess
3. 3.⏩ In machine learning, which comes first: what training builds or old emails marked spam? (a) what training builds (b) old emails marked spam
4. 4.⏩ In machine learning, which comes first: flagging a new email or past weather records? (a) flagging a new email (b) past weather records
5. 5.True or false: “tomorrow’s rain guess” is training data. (a) False (b) True
6. 6.True or false: “the learned patterns” is a prediction. (a) False (b) True
7. 7.🧪 Why test a model on NEW examples? (a) to make it slower (b) to change its name (c) to see if it works (d) to delete its data
8. 8.⏩ In machine learning, which comes first: the learned patterns or naming a new leaf? (a) the learned patterns (b) naming a new leaf
9. 9.Which of these is training data? (a) the trained program (b) flagging a new email (c) 500 labelled leaf photos (d) the learned patterns
10. 10.True or false: “old emails marked spam” is training data. (a) False (b) True
11. 11.🔁 Training data, the model or a prediction: “what training builds”? (a) training data (b) a prediction (c) the model
12. 12.⏩ In machine learning, which comes first: 500 labelled leaf photos or what training builds? (a) 500 labelled leaf photos (b) what training builds
13. 13.Which of these is training data? (a) what training builds (b) flagging a new email (c) recorded spoken words (d) the learned patterns
14. 14.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) training data (b) the model (c) a prediction
15. 15.Which of these is a prediction? (a) labelled fruit photos (b) past weather records (c) the trained program (d) tomorrow’s rain guess
16. 16.🔁 What is the right order? (a) model, prediction, data (b) data, prediction, model (c) prediction, data, model (d) data, model, prediction
17. 17.Which of these is training data? (a) the trained program (b) flagging a new email (c) past weather records (d) the learned patterns
18. 18.⏩ In machine learning, which comes first: recorded spoken words or typing a new spoken word? (a) recorded spoken words (b) typing a new spoken word
19. 19.True or false: “flagging a new email” is training data. (a) True (b) False
20. 20.Which of these is a prediction? (a) naming a new fruit photo (b) 500 labelled leaf photos (c) the trained program (d) old emails marked spam
21. 21.Which of these is a prediction? (a) past weather records (b) recorded spoken words (c) labelled fruit photos (d) flagging a new email
22. 22.⏩ In machine learning, which comes first: old emails marked spam or the trained program? (a) old emails marked spam (b) the trained program
23. 23.Which of these is the model? (a) typing a new spoken word (b) what training builds (c) recorded spoken words (d) old emails marked spam
24. 24.Which of these is a prediction? (a) typing a new spoken word (b) 500 labelled leaf photos (c) past weather records (d) the learned patterns
25. 25.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) training data (b) the model (c) a prediction
26. 26.Which of these is a prediction? (a) old emails marked spam (b) what training builds (c) recorded spoken words (d) naming a new leaf
27. 27.Which of these is training data? (a) old emails marked spam (b) the trained program (c) naming a new leaf (d) what training builds
28. 28.Which of these is training data? (a) naming a new fruit photo (b) flagging a new email (c) labelled fruit photos (d) typing a new spoken word
29. 29.⏩ In machine learning, which comes first: flagging a new email or what training builds? (a) flagging a new email (b) what training builds
30. 30.⏩ In machine learning, which comes first: what training builds or 500 labelled leaf photos? (a) what training builds (b) 500 labelled leaf photos
31. 31.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) the model (b) training data (c) a prediction
32. 32.True or false: “naming a new fruit photo” is the model. (a) False (b) True
33. 33.⏩ In machine learning, which comes first: naming a new fruit photo or past weather records? (a) naming a new fruit photo (b) past weather records
34. 34.True or false: “labelled fruit photos” is training data. (a) True (b) False
35. 35.True or false: “what training builds” is a prediction. (a) False (b) True
36. 36.⏩ In machine learning, which comes first: the trained program or naming a new fruit photo? (a) the trained program (b) naming a new fruit photo
37. 37.📦 What happens during training? (a) it prints labels (b) it learns patterns (c) it takes photos (d) it charges up
38. 38.Which of these is the model? (a) tomorrow’s rain guess (b) the trained program (c) 500 labelled leaf photos (d) flagging a new email
39. 39.True or false: “naming a new leaf” is a prediction. (a) True (b) False
40. 40.⏩ In machine learning, which comes first: past weather records or the learned patterns? (a) past weather records (b) the learned patterns

Free ai for students lessons, practice and worksheets at talentjr.in/ai-for-students