AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 860 · 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.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) training data (b) a prediction (c) the model
2. 2.🔁 Training data, the model or a prediction: “past weather records”? (a) training data (b) the model (c) a prediction
3. 3.⏩ In machine learning, which comes first: what training builds or recorded spoken words? (a) what training builds (b) recorded spoken words
4. 4.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) a prediction (b) the model (c) training data
5. 5.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) a prediction (b) the model (c) training data
6. 6.📦 What happens during training? (a) it charges up (b) it takes photos (c) it prints labels (d) it learns patterns
7. 7.Which of these is a prediction? (a) tomorrow’s rain guess (b) 500 labelled leaf photos (c) old emails marked spam (d) what training builds
8. 8.Which of these is the model? (a) naming a new leaf (b) old emails marked spam (c) naming a new fruit photo (d) what training builds
9. 9.Which of these is training data? (a) flagging a new email (b) 500 labelled leaf photos (c) what training builds (d) typing a new spoken word
10. 10.⏩ In machine learning, which comes first: tomorrow’s rain guess or the learned patterns? (a) tomorrow’s rain guess (b) the learned patterns
11. 11.True or false: “500 labelled leaf photos” is training data. (a) False (b) True
12. 12.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) a prediction (b) the model (c) training data
13. 13.True or false: “the learned patterns” is training data. (a) False (b) True
14. 14.⏩ In machine learning, which comes first: the learned patterns or naming a new fruit photo? (a) the learned patterns (b) naming a new fruit photo
15. 15.⏩ In machine learning, which comes first: flagging a new email or recorded spoken words? (a) flagging a new email (b) recorded spoken words
16. 16.⏩ In machine learning, which comes first: naming a new leaf or the trained program? (a) naming a new leaf (b) the trained program
17. 17.True or false: “naming a new leaf” is a prediction. (a) True (b) False
18. 18.True or false: “tomorrow’s rain guess” is the model. (a) False (b) True
19. 19.Which of these is the model? (a) typing a new spoken word (b) old emails marked spam (c) 500 labelled leaf photos (d) the learned patterns
20. 20.🔁 What is the right order? (a) prediction, data, model (b) data, prediction, model (c) model, prediction, data (d) data, model, prediction
21. 21.True or false: “recorded spoken words” is the model. (a) True (b) False
22. 22.True or false: “labelled fruit photos” is the model. (a) True (b) False
23. 23.⏩ In machine learning, which comes first: past weather records or flagging a new email? (a) past weather records (b) flagging a new email
24. 24.Which of these is training data? (a) tomorrow’s rain guess (b) the learned patterns (c) flagging a new email (d) past weather records
25. 25.⏩ In machine learning, which comes first: what training builds or labelled fruit photos? (a) what training builds (b) labelled fruit photos
26. 26.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) training data (b) a prediction (c) the model
27. 27.🔁 Training data, the model or a prediction: “the learned patterns”? (a) the model (b) training data (c) a prediction
28. 28.⏩ In machine learning, which comes first: typing a new spoken word or what training builds? (a) typing a new spoken word (b) what training builds
29. 29.⏩ 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
30. 30.Which of these is a prediction? (a) the trained program (b) recorded spoken words (c) naming a new leaf (d) old emails marked spam
31. 31.True or false: “what training builds” is a prediction. (a) False (b) True
32. 32.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) a prediction (b) the model (c) training data
33. 33.⏩ In machine learning, which comes first: naming a new leaf or what training builds? (a) naming a new leaf (b) what training builds
34. 34.Which of these is training data? (a) naming a new leaf (b) flagging a new email (c) naming a new fruit photo (d) old emails marked spam
35. 35.⏩ In machine learning, which comes first: naming a new fruit photo or the trained program? (a) naming a new fruit photo (b) the trained program
36. 36.🔁 Training data, the model or a prediction: “what training builds”? (a) training data (b) a prediction (c) the model
37. 37.Which of these is a prediction? (a) the trained program (b) old emails marked spam (c) the learned patterns (d) typing a new spoken word
38. 38.⏩ In machine learning, which comes first: what training builds or typing a new spoken word? (a) what training builds (b) typing a new spoken word
39. 39.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) the model (b) a prediction (c) training data
40. 40.⏩ In machine learning, which comes first: naming a new fruit photo or the learned patterns? (a) naming a new fruit photo (b) the learned patterns

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