AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 771 · 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: “500 labelled leaf photos” is the model. (a) True (b) False
2. 2.Which of these is a prediction? (a) what training builds (b) tomorrow’s rain guess (c) recorded spoken words (d) old emails marked spam
3. 3.True or false: “the trained program” is a prediction. (a) True (b) False
4. 4.⏩ In machine learning, which comes first: the trained program or old emails marked spam? (a) the trained program (b) old emails marked spam
5. 5.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) a prediction (b) the model (c) training data
6. 6.True or false: “naming a new fruit photo” is training data. (a) False (b) True
7. 7.Which of these is the model? (a) typing a new spoken word (b) what training builds (c) naming a new fruit photo (d) flagging a new email
8. 8.🔁 Training data, the model or a prediction: “the trained program”? (a) a prediction (b) training data (c) the model
9. 9.True or false: “past weather records” is a prediction. (a) True (b) False
10. 10.⏩ In machine learning, which comes first: the learned patterns or old emails marked spam? (a) the learned patterns (b) old emails marked spam
11. 11.⏩ In machine learning, which comes first: the trained program or naming a new leaf? (a) the trained program (b) naming a new leaf
12. 12.⏩ In machine learning, which comes first: what training builds or naming a new leaf? (a) what training builds (b) naming a new leaf
13. 13.True or false: “the trained program” is the model. (a) True (b) False
14. 14.Which of these is a prediction? (a) flagging a new email (b) what training builds (c) labelled fruit photos (d) old emails marked spam
15. 15.True or false: “the trained program” is training data. (a) False (b) True
16. 16.🔁 What is the right order? (a) data, model, prediction (b) prediction, data, model (c) data, prediction, model (d) model, prediction, data
17. 17.⏩ In machine learning, which comes first: 500 labelled leaf photos or the learned patterns? (a) 500 labelled leaf photos (b) the learned patterns
18. 18.Which of these is the model? (a) tomorrow’s rain guess (b) flagging a new email (c) the trained program (d) past weather records
19. 19.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) training data (b) a prediction (c) the model
20. 20.⏩ In machine learning, which comes first: naming a new leaf or recorded spoken words? (a) naming a new leaf (b) recorded spoken words
21. 21.⏩ In machine learning, which comes first: the trained program or tomorrow’s rain guess? (a) the trained program (b) tomorrow’s rain guess
22. 22.True or false: “flagging a new email” is training data. (a) True (b) False
23. 23.⏩ In machine learning, which comes first: flagging a new email or what training builds? (a) flagging a new email (b) what training builds
24. 24.True or false: “labelled fruit photos” is training data. (a) True (b) False
25. 25.True or false: “500 labelled leaf photos” is training data. (a) True (b) False
26. 26.Which of these is training data? (a) the trained program (b) old emails marked spam (c) naming a new leaf (d) flagging a new email
27. 27.True or false: “old emails marked spam” is the model. (a) True (b) False
28. 28.⏩ In machine learning, which comes first: old emails marked spam or naming a new fruit photo? (a) old emails marked spam (b) naming a new fruit photo
29. 29.🔁 Training data, the model or a prediction: “past weather records”? (a) a prediction (b) training data (c) the model
30. 30.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) a prediction (b) the model (c) training data
31. 31.📦 What happens during training? (a) it prints labels (b) it takes photos (c) it charges up (d) it learns patterns
32. 32.Which of these is a prediction? (a) naming a new fruit photo (b) 500 labelled leaf photos (c) recorded spoken words (d) what training builds
33. 33.⏩ In machine learning, which comes first: old emails marked spam or flagging a new email? (a) old emails marked spam (b) flagging a new email
34. 34.True or false: “typing a new spoken word” is training data. (a) True (b) False
35. 35.True or false: “the learned patterns” is the model. (a) False (b) True
36. 36.⏩ In machine learning, which comes first: the learned patterns or labelled fruit photos? (a) the learned patterns (b) labelled fruit photos
37. 37.Which of these is training data? (a) the trained program (b) the learned patterns (c) what training builds (d) 500 labelled leaf photos
38. 38.⏩ In machine learning, which comes first: typing a new spoken word or the learned patterns? (a) typing a new spoken word (b) the learned patterns
39. 39.⏩ In machine learning, which comes first: 500 labelled leaf photos or flagging a new email? (a) 500 labelled leaf photos (b) flagging a new email
40. 40.Which of these is training data? (a) what training builds (b) recorded spoken words (c) flagging a new email (d) naming a new leaf

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