AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 493 · 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.🔮 A trained model sees a new photo and says “mango”. This is… (a) training data (b) a password (c) a prediction (d) a label error
2. 2.True or false: “the learned patterns” is the model. (a) False (b) True
3. 3.Which of these is the model? (a) past weather records (b) what training builds (c) recorded spoken words (d) naming a new leaf
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.⏩ In machine learning, which comes first: naming a new leaf or past weather records? (a) naming a new leaf (b) past weather records
6. 6.True or false: “old emails marked spam” is training data. (a) True (b) False
7. 7.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) a prediction (b) the model (c) training data
8. 8.Which of these is a prediction? (a) old emails marked spam (b) labelled fruit photos (c) past weather records (d) flagging a new email
9. 9.🔁 Training data, the model or a prediction: “what training builds”? (a) a prediction (b) training data (c) the model
10. 10.⏩ In machine learning, which comes first: what training builds or naming a new leaf? (a) what training builds (b) naming a new leaf
11. 11.🔁 Training data, the model or a prediction: “flagging a new email”? (a) training data (b) the model (c) a prediction
12. 12.🔁 Training data, the model or a prediction: “the trained program”? (a) a prediction (b) the model (c) training data
13. 13.Which of these is training data? (a) tomorrow’s rain guess (b) what training builds (c) recorded spoken words (d) the trained program
14. 14.True or false: “labelled fruit photos” is training data. (a) False (b) True
15. 15.True or false: “recorded spoken words” is training data. (a) True (b) False
16. 16.True or false: “labelled fruit photos” is the model. (a) True (b) False
17. 17.Which of these is training data? (a) the learned patterns (b) the trained program (c) old emails marked spam (d) tomorrow’s rain guess
18. 18.Which of these is a prediction? (a) recorded spoken words (b) tomorrow’s rain guess (c) old emails marked spam (d) labelled fruit photos
19. 19.⏩ In machine learning, which comes first: tomorrow’s rain guess or the learned patterns? (a) tomorrow’s rain guess (b) the learned patterns
20. 20.Which of these is a prediction? (a) past weather records (b) typing a new spoken word (c) 500 labelled leaf photos (d) the trained program
21. 21.⏩ In machine learning, which comes first: the learned patterns or labelled fruit photos? (a) the learned patterns (b) labelled fruit photos
22. 22.True or false: “500 labelled leaf photos” is the model. (a) True (b) False
23. 23.⏩ In machine learning, which comes first: the learned patterns or naming a new leaf? (a) the learned patterns (b) naming a new leaf
24. 24.Which of these is the model? (a) labelled fruit photos (b) the learned patterns (c) naming a new fruit photo (d) 500 labelled leaf photos
25. 25.True or false: “the learned patterns” is training data. (a) True (b) False
26. 26.⏩ In machine learning, which comes first: naming a new leaf or the learned patterns? (a) naming a new leaf (b) the learned patterns
27. 27.📦 What happens during training? (a) it takes photos (b) it prints labels (c) it charges up (d) it learns patterns
28. 28.True or false: “tomorrow’s rain guess” is a prediction. (a) False (b) True
29. 29.⏩ In machine learning, which comes first: old emails marked spam or tomorrow’s rain guess? (a) old emails marked spam (b) tomorrow’s rain guess
30. 30.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) a prediction (b) the model (c) training data
31. 31.Which of these is the model? (a) old emails marked spam (b) labelled fruit photos (c) past weather records (d) the trained program
32. 32.⏩ In machine learning, which comes first: past weather records or what training builds? (a) past weather records (b) what training builds
33. 33.⏩ In machine learning, which comes first: typing a new spoken word or 500 labelled leaf photos? (a) typing a new spoken word (b) 500 labelled leaf photos
34. 34.⏩ In machine learning, which comes first: past weather records or flagging a new email? (a) past weather records (b) flagging a new email
35. 35.⏩ In machine learning, which comes first: the trained program or typing a new spoken word? (a) the trained program (b) typing a new spoken word
36. 36.True or false: “naming a new leaf” is a prediction. (a) True (b) False
37. 37.True or false: “recorded spoken words” is the model. (a) True (b) False
38. 38.True or false: “500 labelled leaf photos” is training data. (a) True (b) False
39. 39.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) a prediction (b) training data (c) the model
40. 40.⏩ In machine learning, which comes first: old emails marked spam or typing a new spoken word? (a) old emails marked spam (b) typing a new spoken word

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