AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 626 · 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.⏩ In machine learning, which comes first: 500 labelled leaf photos or what training builds? (a) 500 labelled leaf photos (b) what training builds
2. 2.🔁 Training data, the model or a prediction: “past weather records”? (a) the model (b) a prediction (c) training data
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 flagging a new email? (a) the trained program (b) flagging a new email
5. 5.🔁 Training data, the model or a prediction: “flagging a new email”? (a) training data (b) a prediction (c) the model
6. 6.True or false: “old emails marked spam” is the model. (a) True (b) False
7. 7.Which of these is a prediction? (a) what training builds (b) 500 labelled leaf photos (c) naming a new leaf (d) the trained program
8. 8.🔮 A trained model sees a new photo and says “mango”. This is… (a) training data (b) a label error (c) a prediction (d) a password
9. 9.⏩ In machine learning, which comes first: what training builds or old emails marked spam? (a) what training builds (b) old emails marked spam
10. 10.True or false: “the learned patterns” is a prediction. (a) False (b) True
11. 11.True or false: “labelled fruit photos” is training data. (a) False (b) True
12. 12.⏩ In machine learning, which comes first: 500 labelled leaf photos or the trained program? (a) 500 labelled leaf photos (b) the trained program
13. 13.Which of these is the model? (a) 500 labelled leaf photos (b) naming a new leaf (c) what training builds (d) tomorrow’s rain guess
14. 14.True or false: “past weather records” is the model. (a) True (b) False
15. 15.⏩ In machine learning, which comes first: naming a new leaf or what training builds? (a) naming a new leaf (b) what training builds
16. 16.Which of these is training data? (a) typing a new spoken word (b) naming a new fruit photo (c) 500 labelled leaf photos (d) what training builds
17. 17.📦 What happens during training? (a) it prints labels (b) it charges up (c) it takes photos (d) it learns patterns
18. 18.⏩ In machine learning, which comes first: what training builds or labelled fruit photos? (a) what training builds (b) labelled fruit photos
19. 19.🔁 Training data, the model or a prediction: “the trained program”? (a) the model (b) training data (c) a prediction
20. 20.⏩ In machine learning, which comes first: the trained program or old emails marked spam? (a) the trained program (b) old emails marked spam
21. 21.⏩ In machine learning, which comes first: naming a new fruit photo or 500 labelled leaf photos? (a) naming a new fruit photo (b) 500 labelled leaf photos
22. 22.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) a prediction (b) the model (c) training data
23. 23.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) training data (b) the model (c) a prediction
24. 24.🔁 Training data, the model or a prediction: “the learned patterns”? (a) a prediction (b) training data (c) the model
25. 25.Which of these is the model? (a) old emails marked spam (b) naming a new leaf (c) past weather records (d) the trained program
26. 26.⏩ In machine learning, which comes first: what training builds or tomorrow’s rain guess? (a) what training builds (b) tomorrow’s rain guess
27. 27.⏩ In machine learning, which comes first: naming a new leaf or the trained program? (a) naming a new leaf (b) the trained program
28. 28.Which of these is training data? (a) what training builds (b) naming a new leaf (c) recorded spoken words (d) tomorrow’s rain guess
29. 29.True or false: “500 labelled leaf photos” is a prediction. (a) False (b) True
30. 30.Which of these is a prediction? (a) what training builds (b) the trained program (c) labelled fruit photos (d) naming a new fruit photo
31. 31.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) training data (b) a prediction (c) the model
32. 32.Which of these is the model? (a) 500 labelled leaf photos (b) the learned patterns (c) recorded spoken words (d) naming a new leaf
33. 33.⏩ 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
34. 34.⏩ In machine learning, which comes first: the trained program or 500 labelled leaf photos? (a) the trained program (b) 500 labelled leaf photos
35. 35.True or false: “500 labelled leaf photos” is the model. (a) True (b) False
36. 36.⏩ In machine learning, which comes first: the learned patterns or flagging a new email? (a) the learned patterns (b) flagging a new email
37. 37.True or false: “labelled fruit photos” is the model. (a) True (b) False
38. 38.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) training data (b) a prediction (c) the model
39. 39.Which of these is a prediction? (a) labelled fruit photos (b) the learned patterns (c) recorded spoken words (d) flagging a new email
40. 40.True or false: “tomorrow’s rain guess” is a prediction. (a) True (b) False

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